Machine learning in solid organ transplantation: Charting the evolving landscape

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Publication Name

World Journal of Transplantation

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2220-3230

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Scientometrics

World J Transplant. Mar 18, 2025; 15(1): 99642
Published online Mar 18, 2025. doi: 10.5500/wjt.v15.i1.99642

Table 1 Top countries based on the number of publications and citations

Country	Publications (n = 427)	Citations	Percentage from total citations (n = 3979) (%)	Total link strength
United States	209	2288	57.5	137
Canada	59	828	20.81	89
China	43	336	8.44	7
Spain	34	516	12.97	46
England	27	737	18.52	38
France	25	538	13.52	49
Germany	25	649	16.31	37
Italy	20	202	5.08	31
Belgium	16	436	10.96	37
South Korea	15	163	4.1	3
Australia	13	538	13.52	33
Austria	13	607	15.26	47
Thailand	12	21	0.53	12
Brazil	11	50	1.26	7
Netherlands	10	322	8.09	29
India	9	77	1.94	9
Switzerland	9	130	3.27	12
Sweden	8	16	0.4	17
Portugal	6	4	0.1	4
Saudi Arabia	6	42	1.06	8

Citation: Rawashdeh B, Al-abdallat H, Arpali E, Thomas B, Dunn TB, Cooper M. Machine learning in solid organ transplantation: Charting the evolving landscape. World J Transplant 2025; 15(1): 99642
URL: https://www.wjgnet.com/2220-3230/full/v15/i1/99642.htm
DOI: https://dx.doi.org/10.5500/wjt.v15.i1.99642

Rawashdeh B, Al-abdallat H, Arpali E, Thomas B, Dunn TB, Cooper M. Machine learning in solid organ transplantation: Charting the evolving landscape. World J Transplant 2025; 15(1): 99642 [PMID: 40104197 DOI: 10.5500/wjt.v15.i1.99642]

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