Roberto Gedaly

3.0k citations
106 papers · 2.3k indexed · h-index 24

Impact in

  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Liver Disease and Transplantation 26
    • Hepatocellular Carcinoma Treatment and Prognosis 17
    • Renal Transplantation Outcomes and Treatments 13

Roberto Gedaly

99 papers receiving 2.2k citations

Peers

Roberto Gedaly
Comparison fields: 5 of 110
  • Hepatology 733
  • Transplantation 212
  • Oncology 556
  • Cancer Research 282
  • Molecular Medicine 86
Replace David W. Victor with:
David W. Victor United States
Howard Monsour United States
Fady M. Kaldas United States
Sumihito Tamura Japan
Dinesh Ranjan United States
Tsuyoshi Shimamura Japan
Wei‐Chen Lee Taiwan
Bruno Nardo Italy
Dimitrios Dimitroulis Greece
Manuel Rodríguez‐Perálvarez Spain
Roberto Gedaly relative to David W. Victor United States David W. Victor's profile →
Citations per field
00.5×8.5×
David W. Victor · 1×
Citations per year

Countries citing papers authored by Roberto Gedaly

Since Specialization
Citations

This map shows the geographic impact of Roberto Gedaly'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 Roberto Gedaly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Gedaly more than expected).

Fields of papers citing papers by Roberto Gedaly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Gedaly. 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 Roberto Gedaly. The network helps show where Roberto Gedaly may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Roberto Gedaly, 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 Roberto Gedaly Line = papers co-authored together Roberto Gedaly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20241
4 20225
5 20229
6 20217
7 201918
8 201936
9 20184
10 20180
11 201712
12 20165
13 201493
14 201213
15 201194
16 2011121
17 2010116
18 200814
19 20083
20 200862

About Roberto Gedaly

Roberto Gedaly is a scholar working on Hepatology, Transplantation, Surgery, Epidemiology and Oncology, having authored 106 papers that have together received 2.3k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (28 papers), Liver Disease and Transplantation (26 papers), Liver Disease Diagnosis and Treatment (24 papers), Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Renal Transplantation Outcomes and Treatments (13 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Cancer Mechanisms and Therapy (8 papers) and Organ Donation and Transplantation (6 papers). The work is most often cited by research in Hepatology (733 citations), Transplantation (212 citations), Oncology (556 citations), Cancer Research (282 citations) and Molecular Medicine (86 citations). Roberto Gedaly has collaborated with scholars based in United States, Egypt and China. Frequent co-authors include Michael F. Daily, Dinesh Ranjan, Patrick P. McHugh, Changguo Chen, Malay B. Shah, Jonathan Hundley, Daniel L. Davenport, Thomas D. Johnston, Hoonbae Jeon and B. Mark Evers. Their work appears in journals such as HPB, Journal of Surgical Research, Clinical Transplantation, Transplantation and World Journal of Surgery.

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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