M. Martell

1.3k citations
29 papers · 965 · h-index 11

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis C virus research 17
    • Liver Disease and Transplantation 3
    • Hepatitis B Virus Studies 10
    • Liver Disease Diagnosis and Treatment 9

M. Martell

23 papers receiving 919 citations

Peers

M. Martell
Comparison fields: 5 of 84
  • Hepatology 667
  • Epidemiology 589
  • Infectious Diseases 147
  • Microbiology 46
  • Virology 33
Replace Beatriz Cabot with:
Beatriz Cabot Spain
Enea Spada Italy
Kazuo Masuko Japan
M. Duhamel Belgium
M Minutello Italy
Lewellys F. Barker United States
J Ducos France
Denis Ouzan France
Greet J. Boland Netherlands
Kjell Skaug Norway
M. Martell relative to Beatriz Cabot Spain Beatriz Cabot's profile →
Citations per field
00.5×
Beatriz Cabot · 1×
Citations per year

Countries citing papers authored by M. Martell

Since Specialization
Citations

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

Fields of papers citing papers by M. Martell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996275
2 1999196
3 200293
4 201088
5 199478
6 199966
7 200236
8 200224
9 200917
10 200315
11 200415
12 198610
13
[Alpha genes of the T cell receptor: a possible implication in genetic susceptibility to multiple sclerosis].
198710
14 20047
15 20047
16 20017
17 19906
18 20035
19 19883
20 20012

About M. Martell

M. Martell is a scholar working on Hepatology, Epidemiology, Surgery, Genetics and Molecular Biology, having authored 29 papers that have together received 965 indexed citations. Recurring topics across this work include Hepatitis C virus research (17 papers), Hepatitis B Virus Studies (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Liver Disease and Transplantation (3 papers), Animal Virus Infections Studies (2 papers), Diabetes and associated disorders (2 papers), Viral Infections and Immunology Research (2 papers) and Historical Studies on Spain (2 papers). The work is most often cited by research in Hepatology (667 citations), Epidemiology (589 citations), Infectious Diseases (147 citations), Microbiology (46 citations) and Virology (33 citations). M. Martell has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Rafael Esteban, Josep Quer, Juan Ignacio Esteban, Beatriz Cabot, Jordi Gómez, Jaime Guardia, Sílvia Sauleda, J. Camps, Andrés Moyá and Antonio González. Their work appears in journals such as Journal of Hepatology, Journal of Viral Hepatitis, Hepatology, Liver International and Proceedings of the National Academy of Sciences.

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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