Daniel Katz

2.1k citations
58 papers · 1.4k indexed · h-index 21

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 7
    • Liver Disease and Transplantation 11
    • Hepatitis C virus research 5

Daniel Katz

55 papers receiving 1.4k citations

Peers

Daniel Katz
Comparison fields: 5 of 114
  • Hepatology 247
  • Transplantation 76
  • Oncology 287
  • Cancer Research 158
  • Surgery 449
Replace Wei Cai with:
Wei Cai China
Sandeep Aggarwal India
R. Függer Austria
Manfred Stangl Germany
Ming‐Che Lee Taiwan
Zhiwei Li China
Marko Lempinen Finland
Arnulf Thiede Germany
P.R.F. Bell United Kingdom
Michael A. Zimmerman United States
Daniel Katz relative to Wei Cai China Wei Cai's profile →
Citations per field
00.5×1.5×
Wei Cai · 1×
Citations per year

Countries citing papers authored by Daniel Katz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20221
5 201914
6 201659
7 201340
8 200827
9 200769
10 20061
11 200618
12 200527
13 200318
14 20031
15 200026
16 200052
17 199495
18 1988246
19 19852
20 197835

About Daniel Katz

Daniel Katz is a scholar working on Transplantation, Hepatology, Nephrology, Surgery and Public Health, Environmental and Occupational Health, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (15 papers), Organ Donation and Transplantation (13 papers), Liver Disease and Transplantation (11 papers), Renal Transplantation Outcomes and Treatments (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatitis C virus research (5 papers), Renal Diseases and Glomerulopathies (4 papers) and Polyomavirus and related diseases (4 papers). The work is most often cited by research in Hepatology (247 citations), Transplantation (76 citations), Oncology (287 citations), Cancer Research (158 citations) and Surgery (449 citations). Daniel Katz has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Stephen C. Rayhill, Eugene O. Major, Warren E. Lux, John R. Roberts, Sidney A. Houff, John L. Sever, Stefania Pittaluga, Narbada Saini, Conrad Kufta and Alan H. Stolpen. Their work appears in journals such as American Journal of Transplantation, Digestive Diseases and Sciences, Transplantation, Surgery and American Journal of Roentgenology.

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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