Gabriel I. Nistor

835 total citations
11 papers, 614 citations indexed

About

Gabriel I. Nistor is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Gabriel I. Nistor has authored 11 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Gabriel I. Nistor's work include Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (6 papers) and vaccines and immunoinformatics approaches (4 papers). Gabriel I. Nistor is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (6 papers) and vaccines and immunoinformatics approaches (4 papers). Gabriel I. Nistor collaborates with scholars based in United States, China and Japan. Gabriel I. Nistor's co-authors include Hans S. Keirstead, Melissa K. Carpenter, Nadia Haque, Robert O. Dillman, Andrew N. Cornforth, Carol DePriest, Thomas Amatruda, Edward F. McClay, Daniela A. Bota and Michael Bayer and has published in prestigious journals such as Journal of Clinical Oncology, Glia and Oncotarget.

In The Last Decade

Gabriel I. Nistor

10 papers receiving 597 citations

Peers

Gabriel I. Nistor
Comparison fields: 5 of 58
  • Molecular Biology 344
  • Developmental Neuroscience 233
  • Cellular and Molecular Neuroscience 157
  • Genetics 150
  • Immunology 144
Replace Ikuko Koya with:
Ikuko Koya Japan
Julia P. Andreotti Brazil
Ilaria Tamagno United States
Deepa Deshpande United States
Véronique Nerrière‐Daguin France
Katja Piltti United States
Frank Fuxiang Mao China
Antje Arnold United States
Veysel Ödemis Germany
Miho Isoda Japan
Ikuko Koya Japan View profile →
Citations per field, relative to Gabriel I. Nistor
Gabriel I. Nistor · 1×
Citations per year, relative to Gabriel I. Nistor
Gabriel I. Nistor · 1×

Countries citing papers authored by Gabriel I. Nistor

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel I. Nistor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel I. Nistor

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 11
3 1
4 38
5 17
6 4
7 4
8 58
9 18
10 28
11 435

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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