Meri Rogava

3.7k citations
10 papers · 709 · h-index 7

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis

Papers in

    • Immunotherapy and Immune Responses 3
    • Immune cells in cancer 3
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 4
    • Cutaneous Melanoma Detection and Management 1

Meri Rogava

9 papers receiving 698 citations

Peers

Meri Rogava
Comparison fields: 5 of 68
  • Immunology 317
  • Oncology 357
  • Cancer Research 71
  • Molecular Biology 324
  • Biophysics 24
Replace Judith Kohlmeyer with:
Judith Kohlmeyer Germany
Martina Fatho Germany
Aida Shahrabi Netherlands
Aleksandra Simiczyjew Poland
Marieke I.G. Raaijmakers Switzerland
Ewelina Dratkiewicz Poland
Zhiwan Dong United States
Leo Schaerer Switzerland
Esther Wagena Netherlands
Hengbo Zhou United States
Meri Rogava relative to Judith Kohlmeyer Germany Judith Kohlmeyer's profile →
Citations per field
00.5×
Judith Kohlmeyer · 1×
Citations per year

Countries citing papers authored by Meri Rogava

Since Specialization
Citations

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

Fields of papers citing papers by Meri Rogava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meri Rogava, 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 Meri Rogava Line = papers co-authored together Meri Rogava links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012468
2 2021155
3 201531
4 202422
5 202310
6 20219
7 20216
8 20236
9 20242
10 20240

About Meri Rogava

Meri Rogava is a scholar working on Immunology, Oncology, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 709 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Immune cells in cancer (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Ubiquitin and proteasome pathways (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Immunology (317 citations), Oncology (357 citations), Cancer Research (71 citations), Molecular Biology (324 citations) and Biophysics (24 citations). Meri Rogava has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Tüting, Michael Hölzel, Tobias Bald, Jennifer Landsberg, Volker Lennerz, Thomas Wölfel, Judith Kohlmeyer, Mira Cron, Martina Fatho and Marcel Renn. Their work appears in journals such as Cancer Research, Nature Biotechnology, International Journal of Cancer, Journal for ImmunoTherapy of Cancer and Nature Genetics.

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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