Maya Ran

593 citations
25 papers · 495 · h-index 13

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Cell Adhesion Molecules Research

Papers in

Maya Ran

25 papers receiving 464 citations

Peers

Maya Ran
Comparison fields: 5 of 63
  • Immunology 300
  • Immunology and Allergy 53
  • Radiology, Nuclear Medicine and Imaging 179
  • Oncology 170
  • Molecular Biology 200
Replace V Duprez with:
V Duprez France
Ph. Hageman Netherlands
Pak C. Kwong Canada
Christian Aubert France
K. Jurianz Germany
Dale Yuzuki United States
Jonathan H. Ellis United Kingdom
J.M. MacSween Canada
L. Remels Belgium
P. L. van Soest Netherlands
Maya Ran relative to V Duprez France V Duprez's profile →
Citations per field
00.5×
V Duprez · 1×
Citations per year

Countries citing papers authored by Maya Ran

Since Specialization
Citations

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

Fields of papers citing papers by Maya Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199979
2 200055
3 197251
4 197042
5 197640
6 198025
7 199623
8
Tumour-bound immunoglobulins. The in vitro fixation of radioiodine-labelled anti-immunoglobulin reagents by tumour cells.
197423
9 197620
10 199218
11 199617
12
Tumour-bound immunoglobulins. The in vitro disappearance of immunoglobulin from the surface of coated tumour cells, and some properties of released components.
197416
13 198413
14 198412
15 199210
16 197810
17 19927
18 19807
19 19756
20 19856

About Maya Ran

Maya Ran is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Oncology and Cell Biology, having authored 25 papers that have together received 495 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (8 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (4 papers), Chemokine receptors and signaling (3 papers), HER2/EGFR in Cancer Research (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Immunology (300 citations), Immunology and Allergy (53 citations), Radiology, Nuclear Medicine and Imaging (179 citations), Oncology (170 citations) and Molecular Biology (200 citations). Maya Ran has collaborated with scholars based in Israel, France and Sweden. Frequent co-authors include Isaac P. Witz, Rotem Feniger-Barish, Adit Ben‐Baruch, Alon Zaslaver, George J. Klein, Georg Klein, Shira Gal, Gary R. Braslawsky, Wolf H. Fridman and Ginette Schiby. Their work appears in journals such as International Journal of Cancer, JNCI Journal of the National Cancer Institute, Immunobiology, Journal of Immunological Methods and Breast Cancer Research and Treatment.

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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