R Neta

2.6k citations
44 papers · 2.2k · h-index 25

Impact in

Papers in

R Neta

43 papers receiving 2.1k citations

Peers

R Neta
Comparison fields: 5 of 110
  • Immunology 815
  • Radiology, Nuclear Medicine and Imaging 682
  • Hematology 343
  • Behavioral Neuroscience 109
  • Biological Psychiatry 38
Replace K. Hirokawa with:
K. Hirokawa Japan
J W Mier United States
Nathan Trainin Israel
Shunichi Shiozawa Japan
G. D. Ledney United States
T Kishimoto Japan
D. Ross Boswell New Zealand
Mariana Linker‐Israeli United States
Steven H. Zuckerman United States
G. S. Panayi United Kingdom
R Neta relative to K. Hirokawa Japan K. Hirokawa's profile →
Citations per field
00.5×6.1×
K. Hirokawa · 1×
Citations per year

Countries citing papers authored by R Neta

Since Specialization
Citations

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

Fields of papers citing papers by R Neta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986321
2 1988229
3 1987126
4 1992109
5 1990106
6 1995106
7 1991102
8 199394
9 198881
10 199177
11 198874
12 198867
13
Relationship of TNF to interleukins.
199267
14
Interleukin-1 and interleukin-6 act synergistically to stimulate the release of adrenocorticotropic hormone in vivo.
199161
15 199458
16 199446
17 199045
18
Radioprotection with cytokines--learning from nature to cope with radiation damage.
199145
19 199142
20
Cytokines in radioprotection. Comparison of the radioprotective effects of IL-1 to IL-2, GM-CSF and IFN gamma.
198641

About R Neta

R Neta is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Oncology, Hematology and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (22 papers), Immune Response and Inflammation (18 papers), Cytokine Signaling Pathways and Interactions (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Immune Cell Function and Interaction (3 papers), Hematological disorders and diagnostics (3 papers), Stress Responses and Cortisol (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Immunology (815 citations), Radiology, Nuclear Medicine and Imaging (682 citations), Hematology (343 citations), Behavioral Neuroscience (109 citations) and Biological Psychiatry (38 citations). R Neta has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include S Douches, J J Oppenheim, Joost J. Oppenheim, R. S. Perlstein, Stefanie N. Vogel, B E Henricson, G. D. Ledney, T J MacVittie, Simone Vogel and Oppenheim Jj. Their work appears in journals such as The Journal of Immunology, Infection and Immunity, Blood, Cellular Immunology and The Journal of Experimental Medicine.

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