Daniel B. Foltys

1.0k citations
22 papers · 828 · h-index 11

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Renal Transplantation Outcomes and Treatments 7
    • Liver Disease and Transplantation 6
    • Hepatocellular Carcinoma Treatment and Prognosis 2

Daniel B. Foltys

22 papers receiving 814 citations

Peers

Daniel B. Foltys
Comparison fields: 5 of 67
  • Transplantation 361
  • Hepatology 278
  • Surgery 430
  • Oncology 151
  • Biochemistry 28
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Citations per year

Countries citing papers authored by Daniel B. Foltys

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Foltys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012272
2 2013148
3 201294
4 201656
5 201344
6 200839
7 201138
8 201537
9 201218
10 200716
11 201512
12 201310
13 20099
14 20118
15 20137
16
Renal function with everolimus and reduced tacrolimus in de novo liver transplant recipients: 12 month results of the H2304 trial. O-17
20126
17 20084
18
Development of multiple focal nodular hyperplasia lesions after portocaval shunting. A case report.
20133
19 20113
20 20132

About Daniel B. Foltys

Daniel B. Foltys is a scholar working on Transplantation, Hepatology, Surgery, Oncology and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 828 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (10 papers), Renal Transplantation Outcomes and Treatments (7 papers), Liver Disease and Transplantation (6 papers), Drug Transport and Resistance Mechanisms (3 papers), Organ Donation and Transplantation (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Transplantation (361 citations), Hepatology (278 citations), Surgery (430 citations), Oncology (151 citations) and Biochemistry (28 citations). Daniel B. Foltys has collaborated with scholars based in Germany, Belgium and Italy. Frequent co-authors include Susanne Beckebaum, Paolo De Simone, Baburao Koneru, Sven Jonas, Debra Lynn Sudan, Luciano G. De Carlis, John J. Fung, G. Junge, Lutz Fischer and Frank Nevens. Their work appears in journals such as American Journal of Transplantation, Transplantation, Transplant International, Liver Transplantation and International Journal of Oncology.

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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