Naegeli Martin

596 total citations
7 papers, 485 citations indexed

About

Naegeli Martin is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Naegeli Martin has authored 7 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Infectious Diseases and 2 papers in Surgery. Recurrent topics in Naegeli Martin's work include Tuberculosis Research and Epidemiology (2 papers), T-cell and B-cell Immunology (2 papers) and Mycobacterium research and diagnosis (2 papers). Naegeli Martin is often cited by papers focused on Tuberculosis Research and Epidemiology (2 papers), T-cell and B-cell Immunology (2 papers) and Mycobacterium research and diagnosis (2 papers). Naegeli Martin collaborates with scholars based in Switzerland, Australia and Colombia. Naegeli Martin's co-authors include Gerd Pluschke, Sébastien Gagneux, Thomas A. Smith, Jean‐Pierre Dangy, Abudulai Adams Forgor, Valentin Pflüger, Joachim Wittbrodt, Julia Leimkugel, Emmanuèle C. Délot and Frédéric Rosa and has published in prestigious journals such as The Journal of Infectious Diseases, Infection and Immunity and Emerging infectious diseases.

In The Last Decade

Naegeli Martin

7 papers receiving 470 citations

Peers

Naegeli Martin
Comparison fields: 5 of 62
  • Epidemiology 256
  • Molecular Biology 146
  • Microbiology 125
  • Public Health, Environmental and Occupational Health 109
  • Immunology 75
Replace Flávia S. Kubrusly with:
Flávia S. Kubrusly Brazil
Frédérique Vernel-Pauillac France
Ling Lissolo France
Milan S. Blake United States
Kohhei Tetsutani Japan
J C Schwab United States
Peter Cheslock United States
Kris I. Orsborn United States
Annie X. Mo United States
Youssef El Fakhry Canada
Flávia S. Kubrusly Brazil View profile →
Citations per field, relative to Naegeli Martin
Naegeli Martin · 1×
Citations per year, relative to Naegeli Martin
Naegeli Martin · 1×

Countries citing papers authored by Naegeli Martin

Since Specialization
Citations

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

Fields of papers citing papers by Naegeli Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naegeli Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Naegeli Martin. A scholar is included among the top collaborators of Naegeli Martin 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 Naegeli Martin. Naegeli Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 66
2 30
3 160
4 77
5 26
6 51
7 75

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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