Ignacio I. Wistuba

104.1k total citations · 10 hit papers
687 papers, 36.0k citations indexed

About

Ignacio I. Wistuba is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Ignacio I. Wistuba has authored 687 papers receiving a total of 36.0k indexed citations (citations by other indexed papers that have themselves been cited), including 321 papers in Oncology, 294 papers in Pulmonary and Respiratory Medicine and 277 papers in Molecular Biology. Recurrent topics in Ignacio I. Wistuba's work include Lung Cancer Treatments and Mutations (201 papers), Cancer Genomics and Diagnostics (144 papers) and Cancer Immunotherapy and Biomarkers (87 papers). Ignacio I. Wistuba is often cited by papers focused on Lung Cancer Treatments and Mutations (201 papers), Cancer Genomics and Diagnostics (144 papers) and Cancer Immunotherapy and Biomarkers (87 papers). Ignacio I. Wistuba collaborates with scholars based in United States, Netherlands and Chile. Ignacio I. Wistuba's co-authors include Adi F. Gazdar, Carmen Behrens, John D. Minna, J. Jack Lee, Jaime Rodriguez‐Canales, Ximing Tang, Junya Fujimoto, Jack A. Roth, César A. Moran and John V. Heymach and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ignacio I. Wistuba

663 papers receiving 35.4k citations

Hit Papers

PD-L1 as a biom... 2001 2026 2009 2017 2021 2001 2019 2017 2015 250 500 750

Peers

Ignacio I. Wistuba
Comparison fields: 5 of 167
  • Molecular Biology 16.8k
  • Oncology 16.4k
  • Pulmonary and Respiratory Medicine 12.4k
  • Cancer Research 9.0k
  • Immunology 4.2k
Replace Ming‐Sound Tsao with:
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Fabrice André France
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Citations per field, relative to Ignacio I. Wistuba
Ignacio I. Wistuba · 1×
Citations per year, relative to Ignacio I. Wistuba
Ignacio I. Wistuba · 1×

Countries citing papers authored by Ignacio I. Wistuba

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio I. Wistuba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ignacio I. Wistuba. 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 Ignacio I. Wistuba. The network helps show where Ignacio I. Wistuba may publish in the future.

Co-authorship network of co-authors of Ignacio I. Wistuba

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio I. Wistuba. A scholar is included among the top collaborators of Ignacio I. Wistuba 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 Ignacio I. Wistuba. Ignacio I. Wistuba 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
# Work Indexed citations
1 103
2 37
3 116
4 91
5 27
6 22
7 156
8 26
9 59
10 19
11 130
12 39
13 334
14 68
15 29
16 60
17 182
18 49
19 68
20 130

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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