Katia Beider

2.8k citations
62 papers · 2.2k · h-index 27

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • T-cell and B-cell Immunology
  • Oncology top 2%
    • Chemokine receptors and signaling
    • CAR-T cell therapy research

Papers in

    • Chemokine receptors and signaling 21
    • CAR-T cell therapy research 7
    • Multiple Myeloma Research and Treatments 15
    • Hematopoietic Stem Cell Transplantation 5

Katia Beider

60 papers receiving 2.2k citations

Peers

Katia Beider
Comparison fields: 5 of 90
  • Immunology 943
  • Oncology 1.1k
  • Hematology 437
  • Cancer Research 153
  • Immunology and Allergy 61
Replace Ines Gütgemann with:
Ines Gütgemann Germany
Michal Abraham Israel
Toshihiko Oki Japan
Hideyo Hirai Japan
Jiang Zhu China
Heidi Harjunpää Finland
Kouji Matsushima Japan
Takeshi Inukai Japan
Alessandra Mancino Italy
Katia Beider relative to Ines Gütgemann Germany Ines Gütgemann's profile →
Citations per field
00.5×2.7×
Ines Gütgemann · 1×
Citations per year

Countries citing papers authored by Katia Beider

Since Specialization
Citations

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

Fields of papers citing papers by Katia Beider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004353
2 2014138
3 200497
4 200393
5 201789
6 201485
7 201081
8 200677
9 201872
10 201072
11 201371
12 201168
13 200964
14 201361
15 201257
16 201451
17 201350
18 201750
19 201741
20 202038

About Katia Beider

Katia Beider is a scholar working on Oncology, Hematology, Immunology, Molecular Biology and Cell Biology, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (21 papers), Multiple Myeloma Research and Treatments (15 papers), Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (10 papers), CAR-T cell therapy research (7 papers), Proteoglycans and glycosaminoglycans research (6 papers), T-cell and B-cell Immunology (6 papers) and Hematopoietic Stem Cell Transplantation (5 papers). The work is most often cited by research in Immunology (943 citations), Oncology (1.1k citations), Hematology (437 citations), Cancer Research (153 citations) and Immunology and Allergy (61 citations). Katia Beider has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Amnon Peled, Eithan Galun, Arnon Nagler, Hanna Wald, Michal Abraham, Ori Wald, Ido D. Weiss, Evelyne Zeira, Eli Pikarsky and Merav Darash‐Yahana. Their work appears in journals such as Blood, Clinical Cancer Research, Cells, PLoS ONE and Leukemia.

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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