Ruth Neta

1.2k citations
36 papers · 905 · h-index 19

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Macrophage Migration Inhibitory Factor
    • Immunotherapy and Immune Responses

Papers in

Ruth Neta

35 papers receiving 792 citations

Peers

Ruth Neta
Comparison fields: 5 of 94
  • Immunology 406
  • Behavioral Neuroscience 32
  • Radiology, Nuclear Medicine and Imaging 194
  • Hematology 65
  • Transplantation 13
Replace Catherine Bruyns with:
Catherine Bruyns Belgium
H. Dietrich Austria
Jon R. Schmidtke United States
Gabrielle H. Reem United States
Margarita Betz Germany
Roy A. Dempsey United States
John Vergalla United States
Fumimaro Oseko Japan
Lewis F. Neville United States
Debra A. Schultz United States
Ruth Neta relative to Catherine Bruyns Belgium Catherine Bruyns's profile →
Citations per field
00.5×1.7×
Catherine Bruyns · 1×
Citations per year

Countries citing papers authored by Ruth Neta

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Neta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974139
2
Comparison of in vivo effects of human recombinant IL 1 and human recombinant IL 6 in mice.
198884
3 199366
4 197561
5 200941
6 199439
7 198837
8 197632
9 198332
10 198030
11 198829
12 198926
13 199023
14 198323
15 197321
16 199720
17 199020
18 199620
19 197718
20 198117

About Ruth Neta

Ruth Neta is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Physiology, having authored 36 papers that have together received 905 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (9 papers), Macrophage Migration Inhibitory Factor (9 papers), Immune Response and Inflammation (9 papers), Immune Cell Function and Interaction (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Dermatology and Skin Diseases (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Immunology (406 citations), Behavioral Neuroscience (32 citations), Radiology, Nuclear Medicine and Imaging (194 citations), Hematology (65 citations) and Transplantation (13 citations). Ruth Neta has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include S. B. Salvin, Joost J. Oppenheim, Gideon Strassmann, Richard P. Nordan, Stefanie N. Vogel, Jean D. Sipe, Gordon Wong, Miranda Fong, Julius S. Youngner and Jane Nishio. Their work appears in journals such as Cellular Immunology, Radiation Research, Health Physics, The Journal of Immunology and Neuroreport.

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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