M Indrová

1.0k citations
76 papers · 842 · h-index 16

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 53
    • Immune Cell Function and Interaction 21
    • T-cell and B-cell Immunology 9
    • RNA Interference and Gene Delivery 12

M Indrová

73 papers receiving 827 citations

Peers

M Indrová
Comparison fields: 5 of 70
  • Immunology 567
  • Oncology 277
  • Virology 20
  • Biotechnology 37
  • Epidemiology 126
Replace Jana Šímová with:
Jana Šímová Czechia
Sinéad M. Lougheed Netherlands
Anatoli Malyguine United States
Tibor Bakács Hungary
Jean‐Paul Rivals Switzerland
Ingo Fricke United States
A M Kruisbeek United States
Eva N. Huter United States
H. Robson MacDonald Switzerland
Jianping Yang New Zealand
M Indrová relative to Jana Šímová Czechia Jana Šímová's profile →
Citations per field
00.5×1.5×2.5×
Jana Šímová · 1×
Citations per year

Countries citing papers authored by M Indrová

Since Specialization
Citations

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

Fields of papers citing papers by M Indrová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200767
2 198354
3 201446
4 201246
5 201135
6 201434
7 200432
8 200431
9 201531
10 197829
11 199727
12 198717
13 201017
14 199816
15 201616
16 200116
17 200015
18 201715
19 200515
20 200414

About M Indrová

M Indrová is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Epidemiology, having authored 76 papers that have together received 842 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (53 papers), Immune Cell Function and Interaction (21 papers), Virus-based gene therapy research (17 papers), RNA Interference and Gene Delivery (12 papers), T-cell and B-cell Immunology (9 papers), Cervical Cancer and HPV Research (9 papers), CAR-T cell therapy research (9 papers) and Cancer Research and Treatments (8 papers). The work is most often cited by research in Immunology (567 citations), Oncology (277 citations), Virology (20 citations), Biotechnology (37 citations) and Epidemiology (126 citations). M Indrová has collaborated with scholars based in Czechia, Russia and Poland. Frequent co-authors include J Bubeník, Jana Šímová, Jana Bieblová, Milan Reiniš, Romana Mikyšková, T Jandlová, Elżbieta Pajtasz‐Piasecka, Ivan Štěpánek, V. Vonka and J Neuwirt. Their work appears in journals such as International Journal of Oncology, Immunology Letters, International Journal of Cancer, Oncotarget and Cancer Letters.

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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