Benjamin T. Vroman

2.2k citations
24 papers · 1.8k indexed · h-index 20

Benjamin T. Vroman

24 papers receiving 1.8k citations

Peers

Benjamin T. Vroman
Comparison fields: 5 of 86
  • Hepatology 230
  • Oncology 732
  • Molecular Biology 1.1k
  • Cancer Research 131
  • Cell Biology 131
Replace Hidekazu Nakabayashi with:
Hidekazu Nakabayashi Japan
Bhuvanesh Dave United States
Toshiya Nakatani Japan
Bernhard Polzar Germany
Mohamed Amessou France
E. Aubrey Thompson United States
Takuya Fukazawa Japan
Patrick W. Vincent United States
Jun-ichi Furuyama Japan
Kenichi Sato Japan
Benjamin T. Vroman relative to Hidekazu Nakabayashi Japan Hidekazu Nakabayashi's profile →
Citations per field
00.5×1.6×
Hidekazu Nakabayashi · 1×
Citations per year

Countries citing papers authored by Benjamin T. Vroman

Since Specialization
Citations

This map shows the geographic impact of Benjamin T. Vroman'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 Benjamin T. Vroman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin T. Vroman more than expected).

Fields of papers citing papers by Benjamin T. Vroman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin T. Vroman. 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 Benjamin T. Vroman. The network helps show where Benjamin T. Vroman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200612
2 2005108
3 200584
4 200596
5 200433
6
S-peptide epitope tagging for protein purification, expression monitoring, and localization in mammalian cells.
200439
7 2003136
8 200395
9 200315
10 200265
11 199968
12 199831
13
Development and characterization of polarized primary cultures of rat intrahepatic bile duct epithelial cells.
1996122
14 1994143
15
The ins and outs of membrane movement in biliary epithelia.
19915
16 199017
17 199030
18 1989174
19 1985164
20 198544

About Benjamin T. Vroman

Benjamin T. Vroman is a scholar working on Hepatology, Oncology and Cell Biology, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), Drug Transport and Resistance Mechanisms (5 papers), Liver physiology and pathology (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Viral-associated cancers and disorders (3 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Hepatology (230 citations), Oncology (732 citations) and Molecular Biology (1.1k citations). Benjamin T. Vroman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Nicholas F. LaRusso, Larry M. Karnitz, Gary R. Pearson, Motoyasu Ishii, David O. Toft, Sonnet J.H. Arlander, Robert M. Riehl, W. Patrick Sullivan, Scott H. Kaufmann and John O. Phillips. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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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