Gabriel I. Nistor

835 citations
11 papers · 614 indexed · h-index 7
Topics
Immunotherapy and Immune Responses (10 papers)Cancer Immunotherapy and Biomarkers (6 papers)vaccines and immunoinformatics approaches (4 papers)
Partner nations
United StatesChinaJapan

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
Ilaria Tamagno United States
Julia P. Andreotti Brazil
Deepa Deshpande United States
Véronique Nerrière‐Daguin France
Katja Piltti United States
Zhengwen Ma China
Nicole M. Le Douarin France
Frank Fuxiang Mao China
Antje Arnold United States
Gabriel I. Nistor relative to Ikuko Koya Japan Ikuko Koya's profile →
Citations per field
00.5×2.7×
Ikuko Koya · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 11
3 1
4 38
5 17
6 4
7 4
8 58
9 18
10 28
11 435

About Gabriel I. Nistor

Gabriel I. Nistor is a scholar working on Immunology, Genetics and Developmental Neuroscience, having authored 11 papers that have together received 614 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (6 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Developmental Neuroscience (233 citations), Genetics (150 citations) and Cellular and Molecular Neuroscience (157 citations). Gabriel I. Nistor has collaborated with scholars based in United States, China and Japan. Frequent 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. Their work appears in journals such as Journal of Clinical Oncology, Glia and Oncotarget.

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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