Benjamin Maasoumy

3.8k total citations · 2 hit papers
140 papers, 2.1k citations indexed

About

Benjamin Maasoumy is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Benjamin Maasoumy has authored 140 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Hepatology, 111 papers in Epidemiology and 30 papers in Surgery. Recurrent topics in Benjamin Maasoumy's work include Liver Disease Diagnosis and Treatment (92 papers), Hepatitis C virus research (77 papers) and Liver Disease and Transplantation (64 papers). Benjamin Maasoumy is often cited by papers focused on Liver Disease Diagnosis and Treatment (92 papers), Hepatitis C virus research (77 papers) and Liver Disease and Transplantation (64 papers). Benjamin Maasoumy collaborates with scholars based in Germany, United States and France. Benjamin Maasoumy's co-authors include Heiner Wedemeyer, Michael P. Manns, Markus Cornberg, Christoph Höner zu Siederdissen, Katja Deterding, Kerstin Port, Birgit Bremer, Tammo Lambert Tergast, Johannes Vermehren and Steffen B. Wiegand and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Benjamin Maasoumy

123 papers receiving 2.0k citations

Hit Papers

Breakthroughs in hepatitis C research: from discovery to ... 2021 2026 2022 2024 2022 2021 40 80 120

Peers

Benjamin Maasoumy
Comparison fields: 5 of 90
  • Hepatology 1.7k
  • Epidemiology 1.5k
  • Infectious Diseases 305
  • Surgery 271
  • Molecular Biology 127
Replace Tram T. Tran with:
Tram T. Tran United States
Mauro Viganò Italy
Wolf Peter Hofmann Germany
Regino P. González‐Peralta United States
Fabrizio Fabrizi Italy
Gonzalo Crespo Spain
Mauricio Lisker‐Melman United States
Guillaume Pénaranda France
F. Fabrizi Italy
Anaïs Vallet‐Pichard France
Tram T. Tran United States View profile →
Citations per field, relative to Benjamin Maasoumy
Benjamin Maasoumy · 1×
Citations per year, relative to Benjamin Maasoumy
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Countries citing papers authored by Benjamin Maasoumy

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Maasoumy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Maasoumy

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Maasoumy. A scholar is included among the top collaborators of Benjamin Maasoumy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin Maasoumy. Benjamin Maasoumy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 0
5 2
6 1
7 1
8 4
9 8
10 4
11 7
12 0
13 1
14 10
15 1
16 1
17 19
18
Breakthroughs in hepatitis C research: from discovery to cure breakdown →
126
19 2
20 11

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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