Juan Martin‐Serrano

5.6k citations
41 papers · 4.4k indexed · 2 hit papers · h-index 30
Topics
Cellular transport and secretion (27 papers)HIV Research and Treatment (14 papers)Ubiquitin and proteasome pathways (6 papers)

In The Last Decade

Juan Martin‐Serrano

41 papers receiving 4.4k citations

Hit Papers

HIV-1 and Ebola virus encode small peptide motifs that re...200120262009201720012007200400600

Peers

Juan Martin‐Serrano
Comparison fields: 5 of 119
  • Cell Biology 2.2k
  • Molecular Biology 2.2k
  • Virology 1.1k
  • Epidemiology 746
  • Immunology 666
Replace Eiji Morita with:
Eiji Morita Japan
George Banting United Kingdom
Stefan Höning Germany
Virginie Sandrin United States
Hyo-Young Chung United States
Greg Odorizzi United States
Alexandre Benmerah France
François Letourneur France
Roger Lippé Canada
Chavela M. Carr United States
Juan Martin‐Serrano relative to Eiji Morita Japan Eiji Morita's profile →
Citations per field
00.5×1.5×
Eiji Morita · 1×
Citations per year

Countries citing papers authored by Juan Martin‐Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Juan Martin‐Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Martin‐Serrano. 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 Juan Martin‐Serrano. The network helps show where Juan Martin‐Serrano may publish in the future.

Co-authorship network of co-authors of Juan Martin‐Serrano

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Martin‐Serrano. A scholar is included among the top collaborators of Juan Martin‐Serrano 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 Juan Martin‐Serrano. Juan Martin‐Serrano 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
#WorkIndexed citations
1 1
2 21
3 15
4 82
5 51
6 23
7 121
8 224
9 89
10 148
11 118
12
Parallels Between Cytokinesis and Retroviral Budding: A Role for the ESCRT Machinerybreakdown →
596
13 16
14 61
15 81
16 109
17 68
18 2
19 74
20 6

About Juan Martin‐Serrano

Juan Martin‐Serrano is a scholar working on Virology, Cell Biology and Physiology, having authored 41 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (27 papers), HIV Research and Treatment (14 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Virology (1.1k citations), Cell Biology (2.2k citations) and Physiology (272 citations). Juan Martin‐Serrano has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Paul D. Bieniasz, Jeremy G. Carlton, Trinity Zang, Monica Agromayor, David Pérez-Caballero, Anna Caballe, Bethan McDonald, Stuart J. D. Neil, Scott W. Eastman and Magdalena Kloc. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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