Jan Best

2.4k citations
56 papers · 1.2k indexed · h-index 20

Impact in

  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 19
    • Liver physiology and pathology 14
    • Liver Disease and Transplantation 11
    • Liver Diseases and Immunity 5
    • Liver Disease Diagnosis and Treatment 30
    • Hepatitis B Virus Studies 3

Jan Best

52 papers receiving 1.2k citations

Peers

Jan Best
Comparison fields: 5 of 93
  • Hepatology 551
  • Epidemiology 688
  • Cancer Research 120
  • Oncology 214
  • Pharmacology 67
Replace Kei Moriya with:
Kei Moriya Japan
L. Trozzi Italy
Hideyuki Kojima Japan
Yulia A. Nevzorova Germany
Shvetank Sharma India
Sander Lefere Belgium
C. Rychlicki Italy
Frank Erhard Uschner Germany
Yukito Adachi Japan
Ariel E. Feldstein United States
Jan Best relative to Kei Moriya Japan Kei Moriya's profile →
Citations per field
00.5×6.1×
Kei Moriya · 1×
Citations per year

Countries citing papers authored by Jan Best

Since Specialization
Citations

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

Fields of papers citing papers by Jan Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013187
2 202092
3 201690
4 201558
5 200955
6 201145
7 201243
8 200540
9 201338
10 199037
11 201937
12 202134
13 201631
14 201931
15 201227
16 201627
17 201527
18 201724
19 201623
20 200820

About Jan Best

Jan Best is a scholar working on Hepatology, Epidemiology, Surgery, Gastroenterology and Pharmacology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (30 papers), Hepatocellular Carcinoma Treatment and Prognosis (19 papers), Liver physiology and pathology (14 papers), Liver Disease and Transplantation (11 papers), Organ Transplantation Techniques and Outcomes (8 papers), Liver Diseases and Immunity (5 papers), Hepatitis B Virus Studies (3 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). The work is most often cited by research in Hepatology (551 citations), Epidemiology (688 citations), Cancer Research (120 citations), Oncology (214 citations) and Pharmacology (67 citations). Jan Best has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Ali Canbay, Guido Gerken, Leo A. van Grunsven, Lars P. Bechmann, Paul Manka, Jan‐Peter Sowa, Laurent Dollé, Svenja Sydor, Alexander Dechêne and Wing‐Kin Syn. Their work appears in journals such as Journal of Hepatology, Scientific Reports, Pharmaceuticals, Journal of Clinical Medicine and Cancer Immunology Immunotherapy.

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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