Kenji Uryuhara

3.3k citations
70 papers · 2.5k indexed · 1 hit paper · h-index 25

Kenji Uryuhara

69 papers receiving 2.5k citations

Hit Papers

IMPACT OF GRAFT SIZE MISMATCHING ON GRAFT PROGNOSIS IN LI...7521999202620082017250500750

Peers

Kenji Uryuhara
Comparison fields: 5 of 59
  • Hepatology 1.9k
  • Transplantation 305
  • Surgery 2.2k
  • Public Health, Environmental and Occupational Health 763
  • Clinical Biochemistry 175
Replace Christopher R. Shackleton with:
Christopher R. Shackleton United States
Khalid Sharif United Kingdom
Thomas J. Rosenthal United States
Yong W. Cho United States
Thomas G. Heffron United States
Carlos G. Fasola United States
James B. Piper United States
Scott Ames United States
Juliet S. Melzer United States
Shunji Narumi Japan
Kenji Uryuhara relative to Christopher R. Shackleton United States Christopher R. Shackleton's profile →
Citations per field
00.5×8.8×
Christopher R. Shackleton · 1×
Citations per year

Countries citing papers authored by Kenji Uryuhara

Since Specialization
Citations

This map shows the geographic impact of Kenji Uryuhara's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kenji Uryuhara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Uryuhara more than expected).

Fields of papers citing papers by Kenji Uryuhara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenji Uryuhara. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kenji Uryuhara. The network helps show where Kenji Uryuhara may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kenji Uryuhara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kenji Uryuhara Line = papers co-authored together Kenji Uryuhara links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20222
2 20202
3 20171
4 20140
5 20121
6 201210
7 20121
8 20102
9 20101
10 20072
11 200734
12 200612
13 200634
14 20067
15 20057
16 200340
17 19998
18 199955
19 19986
20 199824

About Kenji Uryuhara

Kenji Uryuhara is a scholar working on Hepatology, Transplantation, Surgery, Clinical Biochemistry and Oncology, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (40 papers), Liver Disease and Transplantation (35 papers), Organ Donation and Transplantation (12 papers), Liver Disease Diagnosis and Treatment (9 papers), Transplantation: Methods and Outcomes (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Renal Transplantation Outcomes and Treatments (7 papers) and Metabolism and Genetic Disorders (6 papers). The work is most often cited by research in Hepatology (1.9k citations), Transplantation (305 citations), Surgery (2.2k citations), Public Health, Environmental and Occupational Health (763 citations) and Clinical Biochemistry (175 citations). Kenji Uryuhara has collaborated with scholars based in Japan, Belgium and United States. Frequent co-authors include Hiroto Egawa, Tetsuya Kiuchi, Kōichi Tanaka, Yukihiro Inomata, Shinji Üemoto, Katsuhiro Asonuma, Mureo Kasahara, Shiro Fujita, Michihiro Hayashi and Yasutsugu Takada. Their work appears in journals such as Transplantation, Transplant International, American Journal of Transplantation, Journal of Pediatric Surgery and Clinical Transplantation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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