Martin Bigos

484 citations
10 papers · 377 · h-index 8

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • Single-cell and spatial transcriptomics 5
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 2

Martin Bigos

10 papers receiving 365 citations

Peers

Martin Bigos
Comparison fields: 5 of 58
  • Biophysics 73
  • Virology 44
  • Immunology 117
  • Molecular Biology 209
  • Biomedical Engineering 74
Replace Gabrielle Romain with:
Gabrielle Romain United States
Thomas Liechti United States
Béatrice Corre France
Peggy Mérida France
Francis L. Battye Australia
Abdelkrim Alileche United States
Caleb K. Chan United States
J M Connolly United States
Stacey L. Fanning United States
Sabelo Lukhele Canada
Martin Bigos relative to Gabrielle Romain United States Gabrielle Romain's profile →
Citations per field
00.5×2.8×
Gabrielle Romain · 1×
Citations per year

Countries citing papers authored by Martin Bigos

Since Specialization
Citations

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

Fields of papers citing papers by Martin Bigos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1997125
2 199956
3 200855
4 200436
5 201235
6 199529
7 200818
8 200717
9 19945
10 19991

About Martin Bigos

Martin Bigos is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Genetics and Virology, having authored 10 papers that have together received 377 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (2 papers), Cancer Genomics and Diagnostics (1 paper), Plant nutrient uptake and metabolism (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Algorithms and Data Compression (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Biophysics (73 citations), Virology (44 citations), Immunology (117 citations), Molecular Biology (209 citations) and Biomedical Engineering (74 citations). Martin Bigos has collaborated with scholars based in United States, South Africa and Slovakia. Frequent co-authors include David R. Parks, Mario Roederer, Leonard A. Herzenberg, Leonore A. Herzenberg, Nicole Baumgarth, Rachel M. Gerstein, Stephen De Rosa, Michael T. Anderson, Warner C. Greene and Robert A. Hoffman. Their work appears in journals such as Cytometry, Cytometry Part A, Current Protocols in Cytometry and Humana Press eBooks.

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.

Explore authors with similar magnitude of impact