Leonid S. Metelitsa

6.2k citations
57 papers · 4.6k indexed · h-index 34
  • Immunology top 0.5%
    • Immune Cell Function and Interaction 33
    • T-cell and B-cell Immunology 14
    • Immunotherapy and Immune Responses 8
    • Immune cells in cancer 6
  • Oncology top 0.5%
    • CAR-T cell therapy research 28
  • Neurology top 1%
    • Neuroblastoma Research and Treatments 21
    • Cancer, Hypoxia, and Metabolism 6
    • Virus-based gene therapy research 4

Leonid S. Metelitsa

56 papers receiving 4.6k citations

Peers

Leonid S. Metelitsa
Comparison fields: 5 of 101
  • Immunology 2.6k
  • Oncology 2.8k
  • Neurology 803
  • Cancer Research 380
  • Biotechnology 202
Replace Jacquelyn A. Hank with:
Jacquelyn A. Hank United States
Matteo Bellone Italy
Angelica Loskog Sweden
Alexander L. Rakhmilevich United States
Bryon D. Johnson United States
Joshua Brody United States
Mary M. Tomayko United States
Richard P. Junghans United States
Thorbald van Hall Netherlands
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Citations per field
00.5×10×12.5×
Jacquelyn A. Hank · 1×
Citations per year

Countries citing papers authored by Leonid S. Metelitsa

Since Specialization
Citations

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

Fields of papers citing papers by Leonid S. Metelitsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonid S. Metelitsa. 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 Leonid S. Metelitsa. The network helps show where Leonid S. Metelitsa may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Leonid S. Metelitsa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leonid S. Metelitsa Line = papers co-authored together Leonid S. Metelitsa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202421
3 202430
4 2020193
5 2020201
6 2019159
7 2019219
8 201912
9 2019133
10 2017220
11 201572
12 201457
13 201348
14 20121
15 201170
16 2008145
17 20071
18 2004207
19 2001293
20 1999246

About Leonid S. Metelitsa

Leonid S. Metelitsa is a scholar working on Immunology, Neurology and Oncology, having authored 57 papers that have together received 4.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (33 papers), CAR-T cell therapy research (28 papers), Neuroblastoma Research and Treatments (21 papers), T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Immune cells in cancer (6 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology (2.6k citations), Oncology (2.8k citations) and Neurology (803 citations). Leonid S. Metelitsa has collaborated with scholars based in United States, Germany and Vietnam. Frequent co-authors include Robert C. Seeger, Amy N. Courtney, Gianpietro Dotti, Liping Song, Hongwei Wu, Andras Heczey, Linjie Guo, Shahab Asgharzadeh, C. Patrick Reynolds and Daofeng Liu. Their work appears in journals such as The Journal of Immunology, Cancer Immunology Research, Cancer Research, Blood and Journal of Clinical Investigation.

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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