Igor Rebrin

2.8k citations
44 papers · 2.3k indexed · h-index 26

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Sulfur Compounds in Biology

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 9
    • Amino Acid Enzymes and Metabolism 7

Igor Rebrin

44 papers receiving 2.3k citations

Peers

Igor Rebrin
Comparison fields: 5 of 109
  • Aging 305
  • Biochemistry 387
  • Biological Psychiatry 85
  • Clinical Biochemistry 221
  • Endocrine and Autonomic Systems 143
Replace Alba Naudí with:
Alba Naudí Spain
Patrick C. Bradshaw United States
Shankar J. Chinta United States
Dong‐Hoon Hyun South Korea
Youngmok C. Jang United States
Nancy J. Linford United States
Anju Dubey United States
Amandine Grimm Switzerland
Céline Perier Spain
Н. Г. Колосова Russia
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Citations per field
00.5×1.7×
Alba Naudí · 1×
Citations per year

Countries citing papers authored by Igor Rebrin

Since Specialization
Citations

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

Fields of papers citing papers by Igor Rebrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201126
2 201038
3 200824
4 2008147
5 200823
6 200898
7 200842
8 200688
9 200638
10 2005116
11 200482
12 2004120
13 2001140
14 199840
15 19958
16 199530
17 19934
18 199229
19 199055
20 198913

About Igor Rebrin

Igor Rebrin is a scholar working on Aging, Biochemistry, Clinical Biochemistry, Equine and Endocrine and Autonomic Systems, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (12 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), Redox biology and oxidative stress (9 papers), Amino Acid Enzymes and Metabolism (7 papers), Neonatal Health and Biochemistry (7 papers), Biochemical effects in animals (7 papers), Mitochondrial Function and Pathology (5 papers) and Porphyrin Metabolism and Disorders (4 papers). The work is most often cited by research in Aging (305 citations), Biochemistry (387 citations), Biological Psychiatry (85 citations), Clinical Biochemistry (221 citations) and Endocrine and Autonomic Systems (143 citations). Igor Rebrin has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Rajindar S. Sohal, Sergey Kamzalov, Michael J. Forster, Jean C. Shih, William C. Orr, Svetlana N. Radyuk, Vladimir I. Klichko, Robin J. Mockett, Kevin Chen and Judith Benes. Their work appears in journals such as Free Radical Biology and Medicine, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Biochemistry and Methods in enzymology on CD-ROM/Methods in enzymology.

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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