Sheldon E. Ratnofsky

1.7k citations
19 papers · 1.5k · h-index 16

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cell Adhesion Molecules Research

Papers in

Sheldon E. Ratnofsky

19 papers receiving 1.4k citations

Peers

Sheldon E. Ratnofsky
Comparison fields: 5 of 82
  • Immunology 707
  • Immunology and Allergy 137
  • Oncology 295
  • Molecular Biology 784
  • Radiology, Nuclear Medicine and Imaging 203
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Citations per field
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Citations per year

Countries citing papers authored by Sheldon E. Ratnofsky

Since Specialization
Citations

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

Fields of papers citing papers by Sheldon E. Ratnofsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheldon E. Ratnofsky. 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 Sheldon E. Ratnofsky. The network helps show where Sheldon E. Ratnofsky may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1996445
2 1989271
3 1994209
4 198997
5 200080
6 199965
7 199465
8 198755
9 200547
10 200436
11 197728
12 200224
13 198218
14 199417
15
Lck inhibitors as a therapeutic approach to autoimmune disease and transplant rejection.
200117
16 198016
17 199012
18 19826
19 19883

About Sheldon E. Ratnofsky

Sheldon E. Ratnofsky is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology and Allergy and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein Tyrosine Phosphatases (3 papers), Signaling Pathways in Disease (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Immunology (707 citations), Immunology and Allergy (137 citations), Oncology (295 citations), Molecular Biology (784 citations) and Radiology, Nuclear Medicine and Imaging (203 citations). Sheldon E. Ratnofsky has collaborated with scholars based in United States, Germany and France. Frequent co-authors include S J Burakoff, Barry P. Sleckman, Barbara E. Bierer, Steven J. Burakoff, Yutaka Emoto, Margaret Hugunin, Hamish Allen, Winnie W. Wong, Tariq Ghayur and Donald W. Kufe. Their work appears in journals such as The Journal of Experimental Medicine, Bioorganic & Medicinal Chemistry Letters, European Journal of Immunology, Annual Review of Immunology and Transplantation.

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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