I. Nir

762 citations
44 papers · 524 · h-index 15

Impact in

Papers in

I. Nir

39 papers receiving 477 citations

Peers

I. Nir
Comparison fields: 5 of 80
  • Endocrine and Autonomic Systems 109
  • Animal Science and Zoology 148
  • Behavioral Neuroscience 34
  • Biochemistry 50
  • Pharmacology 132
Replace Z. Glick with:
Z. Glick United States
W. H. Cottle Canada
CHARLES E. DE LA VEGA Canada
Brian Hrupka United States
L.M. Huybrechts Belgium
S. Sangiah United States
Akihiro KUROSHIMA Japan
Allan White Chile
Verónica Sierra Spain
Claíre Moníer France
I. Nir relative to Z. Glick United States Z. Glick's profile →
Citations per field
00.5×4.6×
Z. Glick · 1×
Citations per year

Countries citing papers authored by I. Nir

Since Specialization
Citations

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

Fields of papers citing papers by I. Nir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I. Nir, 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 I. Nir Line = papers co-authored together I. Nir 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 197376
2 197558
3 198248
4 200828
5 196322
6 197322
7
Pyloric exclusion in the management of duodenal trauma: is concomitant gastrojejunostomy necessary?
199721
8 199319
9 197218
10 198116
11 197316
12 197115
13 196614
14 197214
15 197314
16 196713
17 197113
18 19679
19 19809
20 19858

About I. Nir

I. Nir is a scholar working on Animal Science and Zoology, Physiology, Biochemistry, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 524 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (12 papers), Antioxidant Activity and Oxidative Stress (8 papers), Meat and Animal Product Quality (7 papers), Circadian rhythm and melatonin (6 papers), Biochemical effects in animals (6 papers), Cannabis and Cannabinoid Research (5 papers), Diet, Metabolism, and Disease (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (109 citations), Animal Science and Zoology (148 citations), Behavioral Neuroscience (34 citations), Biochemistry (50 citations) and Pharmacology (132 citations). I. Nir has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include I. Ascarelli, D. Ayalon, D. Yam, H.R. Lindner, T. CORDOVA, A. Tsafriri, Vered Levy, U. Schmidt, R.A. Siegel and Joseph Weidenfeld. Their work appears in journals such as Poultry Science, Neuroendocrinology, British Journal Of Nutrition, British Poultry Science and Journal of Neural Transmission.

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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