Ben L. Da

1.7k citations
47 papers · 849 indexed · h-index 15

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatitis C virus research 21
    • Liver Disease and Transplantation 11
    • Hepatitis Viruses Studies and Epidemiology 3
    • Liver Disease Diagnosis and Treatment 26
    • Hepatitis B Virus Studies 18

Ben L. Da

43 papers receiving 833 citations

Peers

Ben L. Da
Comparison fields: 5 of 76
  • Hepatology 358
  • Epidemiology 487
  • Infectious Diseases 130
  • Oncology 158
  • Surgery 226
Replace Almoutaz Hashim with:
Almoutaz Hashim Saudi Arabia
Alyson Kaplan United States
Julius Wilder United States
Alyson N. Fox United States
Elena Roel Spain
Cynthia Nakasato United States
Matthew S. Chang United States
Ravishankar Asokkumar Singapore
Leah Shepherd United Kingdom
Monica Robotin Australia
Ben L. Da relative to Almoutaz Hashim Saudi Arabia Almoutaz Hashim's profile →
Citations per field
00.5×3.6×
Almoutaz Hashim · 1×
Citations per year

Countries citing papers authored by Ben L. Da

Since Specialization
Citations

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

Fields of papers citing papers by Ben L. Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben L. Da. 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 Ben L. Da. The network helps show where Ben L. Da may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20251
3 20245
4 20231
5 20230
6 20225
7 20225
8 20222
9 202137
10 2020176
11 201931
12 201927
13 201913
14 20194
15 201937
16 201858
17 201810
18 201791
19 20169
20 20151

About Ben L. Da

Ben L. Da is a scholar working on Hepatology, Epidemiology, Surgery, Infectious Diseases and Pharmacology, having authored 47 papers that have together received 849 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (26 papers), Hepatitis C virus research (21 papers), Hepatitis B Virus Studies (18 papers), Liver Disease and Transplantation (11 papers), Pancreatitis Pathology and Treatment (9 papers), COVID-19 Clinical Research Studies (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Hepatitis Viruses Studies and Epidemiology (3 papers). The work is most often cited by research in Hepatology (358 citations), Epidemiology (487 citations), Infectious Diseases (130 citations), Oncology (158 citations) and Surgery (226 citations). Ben L. Da has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Thomas D. Schiano, Gene Y. Im, Christopher Koh, Theo Heller, James Buxbaum, David E. Kleiner, Christianne J. Lane, Jeffrey S. Glenn, Michael Quezada and Sanjaya K. Satapathy. Their work appears in journals such as The American Journal of Gastroenterology, Journal of Hepatology, Hepatology, European Journal of Gastroenterology & Hepatology and Hepatology Communications.

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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