Maya Ran

593 total citations
25 papers, 495 citations indexed

About

Maya Ran is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Maya Ran has authored 25 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Maya Ran's work include Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (8 papers) and Immunotherapy and Immune Responses (8 papers). Maya Ran is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (8 papers) and Immunotherapy and Immune Responses (8 papers). Maya Ran collaborates with scholars based in Israel, France and Sweden. Maya Ran's 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 Christian Bonnerot and has published in prestigious journals such as Blood, JNCI Journal of the National Cancer Institute and International Journal of Cancer.

In The Last Decade

Maya Ran

25 papers receiving 464 citations

Peers

Maya Ran
Comparison fields: 5 of 63
  • Immunology 300
  • Molecular Biology 200
  • Radiology, Nuclear Medicine and Imaging 179
  • Oncology 170
  • Immunology and Allergy 53
Replace Ph. Hageman with:
Ph. Hageman Netherlands
Laurie Graham United States
Sonia Sirlin United States
Ingrid Schuster Germany
G. Nagel Germany
J.M. MacSween Canada
L. Remels Belgium
Sophie Viel France
Pak C. Kwong Canada
M J Millsum United Kingdom
Ph. Hageman Netherlands View profile →
Citations per field, relative to Maya Ran
Maya Ran · 1×
Citations per year, relative to Maya Ran
Maya Ran · 1×

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-authorship network of co-authors of Maya Ran

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Ran. A scholar is included among the top collaborators of Maya Ran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maya Ran. Maya Ran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 79
2 23
3 17
4 10
5 7
6 18
7 2
8 4
9 6
10 13
11 12
12 4
13 3
14 25
15 10
16 20
17 6
18
Tumour-bound immunoglobulins. The in vitro disappearance of immunoglobulin from the surface of coated tumour cells, and some properties of released components.
16
19
Tumour-bound immunoglobulins. The in vitro fixation of radioiodine-labelled anti-immunoglobulin reagents by tumour cells.
23
20 51

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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