M Kaplan

21 papers receiving 693 citations

Peers

M Kaplan
Comparison fields: 5 of 80
  • Developmental Neuroscience 55
  • Cellular and Molecular Neuroscience 202
  • Neurology 56
  • Cell Biology 103
  • Developmental Biology 11
Replace Frank Blaeser with:
Frank Blaeser United States
Hiraki Sakuta Japan
Fabien Guimiot France
Elisabeth Wagner United States
Saad Al Shahwan Saudi Arabia
Ariya D. Lapan United States
Kenneth R. Myers United States
Angela Nguyen Canada
Raúl Jiménez Heredia Austria
Claudia Olenik Germany
M Kaplan relative to Frank Blaeser United States Frank Blaeser's profile →
Citations per field
00.5×3.7×
Frank Blaeser · 1×
Citations per year

Countries citing papers authored by M Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by M Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005263
2 1994113
3 199493
4 200554
5 200335
6 199133
7 199422
8 200315
9 195915
10 200314
11 198913
12
Suppression of interleukin-2 production by methylprednisolone
198310
13
WHO coordinated research on the role of animals in influenza epidemiology: introduction.
197210
14 19945
15 19913
16
Mechanisms of steroid suppression of immune function: effect of methylprednisolone on lymphocyte activation and proliferation.
19803
17 19813
18
Evolving legal and ethical attitudes toward organ transplantation from cadaver donors.
19792
19 19822
20 19961

About M Kaplan

M Kaplan is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Epidemiology, having authored 21 papers that have together received 710 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Skin and Cellular Biology Research (2 papers), Influenza Virus Research Studies (2 papers), Platelet Disorders and Treatments (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Organ Donation and Transplantation (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Developmental Neuroscience (55 citations), Cellular and Molecular Neuroscience (202 citations), Neurology (56 citations), Cell Biology (103 citations) and Developmental Biology (11 citations). M Kaplan has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Ted Abel, Marcelo A. Wood, Ana M.M. Oliveira, Edward Blanchard, Alice Park, Ronald K.H. Liem, Teresa L. Wood, John E. Pintar, RC Gallo and R Gendelman. Their work appears in journals such as Blood, Veterinary Record, Clinical Pharmacology & Therapeutics, The Journal of Experimental Medicine and Learning & Memory.

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.

Explore authors with similar magnitude of impact