Tomer Granot

2.6k total citations · 1 hit paper
15 papers, 1.7k citations indexed

About

Tomer Granot is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Tomer Granot has authored 15 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 4 papers in Oncology and 4 papers in Genetics. Recurrent topics in Tomer Granot's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and Virus-based gene therapy research (4 papers). Tomer Granot is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and Virus-based gene therapy research (4 papers). Tomer Granot collaborates with scholars based in United States. Tomer Granot's co-authors include Donna L. Färber, Harvey Lerner, Michelle Miron, Dustin Carpenter, Takashi Senda, Brahma V. Kumar, Siu‐Hong Ho, Amy L. Friedman, Yufeng Shen and Wenji Ma and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Tomer Granot

15 papers receiving 1.7k citations

Hit Papers

Human Tissue-Resident Memory T Cells Are Defined by Core ... 2017 2026 2020 2023 2017 200 400 600

Peers

Tomer Granot
Comparison fields: 5 of 97
  • Immunology 1.3k
  • Oncology 343
  • Molecular Biology 271
  • Epidemiology 228
  • Genetics 175
Replace Matthijs Kramer with:
Matthijs Kramer Netherlands
Michelle Miron United States
Peter A. Szabo United States
SangKon Oh United States
Harvey Lerner United States
Federica Moalli Italy
Heather D. Marshall United States
Sergio Arce United States
Sarah C. Sasson Australia
Virginie Prémel France
Matthijs Kramer Netherlands View profile →
Citations per field, relative to Tomer Granot
Tomer Granot · 1×
Citations per year, relative to Tomer Granot
Tomer Granot · 1×

Countries citing papers authored by Tomer Granot

Since Specialization
Citations

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

Fields of papers citing papers by Tomer Granot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Granot

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 54
2 54
3 65
4 23
5 3
6 101
7 45
8 215
9
Human Tissue-Resident Memory T Cells Are Defined by Core Transcriptional and Functional Signatures in Lymphoid and Mucosal Sites breakdown →
700
10 97
11 225
12 39
13 17
14 24
15 50

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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