Igor Kogut

815 citations
56 papers · 511 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery

Papers in

Igor Kogut

40 papers receiving 497 citations

Peers

Igor Kogut
Comparison fields: 5 of 105
  • Immunology 82
  • Molecular Biology 195
  • Rehabilitation 15
  • Biological Psychiatry 5
  • Cell Biology 32
Replace Jon Roger Eidet with:
Jon Roger Eidet Norway
Kristina Alekseevna Yurova Russia
Shuhong Zhao China
Jason L. Andresen United States
Lena Fischer Germany
André Schulz Germany
Mai Wang China
Jun-Sub Kim South Korea
Nanxin Liu China
Pam M. Van Ry United States
Igor Kogut relative to Jon Roger Eidet Norway Jon Roger Eidet's profile →
Citations per field
00.5×2×3×3.6×
Jon Roger Eidet · 1×
Citations per year

Countries citing papers authored by Igor Kogut

Since Specialization
Citations

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

Fields of papers citing papers by Igor Kogut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018133
2 2012132
3 201343
4 202123
5 201815
6 201514
7 201213
8 201411
9 202210
10 201610
11 201310
12 201310
13 20188
14 20216
15 20116
16 20216
17 20216
18 20135
19 19955
20 20114

About Igor Kogut

Igor Kogut is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biophysics, Molecular Biology and Computer Networks and Communications, having authored 56 papers that have together received 511 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Thin-Film Transistor Technologies (7 papers), Advanced MEMS and NEMS Technologies (7 papers), Silicon Nanostructures and Photoluminescence (7 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), CRISPR and Genetic Engineering (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Semiconductor materials and interfaces (4 papers). The work is most often cited by research in Immunology (82 citations), Molecular Biology (195 citations), Rehabilitation (15 citations), Biological Psychiatry (5 citations) and Cell Biology (32 citations). Igor Kogut has collaborated with scholars based in Ukraine, United States and Poland. Frequent co-authors include John C. Cambier, Ganna Bilousova, Jean L. Scholz, Michael P. Cancro, Dennis R. Roop, Anatoly Druzhinin, Andrew Getahun, Marcel F. Jonkman, David P. Astling and Xiaomi Chen. Their work appears in journals such as Journal of Visualized Experiments, Journal of Investigative Dermatology, Water Resources and Industry, Stem Cells Translational Medicine and Journal of Biological Chemistry.

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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