Nadia Martinez-Martín

766 citations
14 papers · 519 indexed · h-index 9
Topics
Immune Cell Function and Interaction (3 papers)Immune cells in cancer (3 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)
Partner nations
United StatesSpainCanada

In The Last Decade

Nadia Martinez-Martín

14 papers receiving 511 citations

Peers

Nadia Martinez-Martín
Comparison fields: 5 of 59
  • Molecular Biology 296
  • Immunology 186
  • Oncology 153
  • Epidemiology 132
  • Cell Biology 74
Replace Seung Hyeun Ka with:
Seung Hyeun Ka South Korea
Patrick Fernandes Rodrigues United States
Dennis Flierman Netherlands
Adán Pinto-Fernández United Kingdom
Lance F. Barton United States
Arnab Nayak Germany
Carla M. Roots Australia
Roger Santimaria Switzerland
Louise McNeill United Kingdom
Jun Nakabayashi Japan
Nadia Martinez-Martín relative to Seung Hyeun Ka South Korea Seung Hyeun Ka's profile →
Citations per field
00.5×1.5×2.0×
Seung Hyeun Ka · 1×
Citations per year

Countries citing papers authored by Nadia Martinez-Martín

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Martinez-Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia Martinez-Martín. 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 Nadia Martinez-Martín. The network helps show where Nadia Martinez-Martín may publish in the future.

Co-authorship network of co-authors of Nadia Martinez-Martín

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 3
2 18
3 1
4 10
5 46
6 36
7 28
8 63
9 2
10 4
11 1
12 232
13 33
14 42

About Nadia Martinez-Martín

Nadia Martinez-Martín is a scholar working on Immunology, Oncology and Immunology and Allergy, having authored 14 papers that have together received 519 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (186 citations), Oncology (153 citations) and Cell Biology (74 citations). Nadia Martinez-Martín has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Vishva M. Dixit, M Matsumoto, Diane L. Haakonsen, Nan Wang, X. William Yang, Michael Rapé, Achim Werner, Richard G. Yau, Bushra Husain and Sean M. Peterson. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The EMBO Journal.

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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