Alexei Korennykh

3.4k citations
31 papers · 2.5k indexed · 1 hit paper · h-index 22
  • Cell Biology top 0.5%
    • Endoplasmic Reticulum Stress and Disease 10
  • Aging top 5%
    • RNA regulation and disease 14
    • RNA and protein synthesis mechanisms 7
    • RNA Research and Splicing 7
  • Immunology top 5%
    • interferon and immune responses 9
    • Toxin Mechanisms and Immunotoxins 4
    • Autophagy in Disease and Therapy 4
    • Bacteriophages and microbial interactions 3

Alexei Korennykh

31 papers receiving 2.5k citations

Hit Papers

The unfolded protein response signals through high-order ...5122008202620142020100200300400500

Peers

Alexei Korennykh
Comparison fields: 5 of 89
  • Cell Biology 1.3k
  • Aging 65
  • Molecular Biology 1.7k
  • Immunology 502
  • Biotechnology 153
Replace Krishna M. Vattem with:
Krishna M. Vattem United States
Chaim Kahana Israel
Songshu Meng China
Martin Latterich United States
Peter Klappa United Kingdom
Davide Eletto United States
Ruth Geiss‐Friedlander Germany
Philip James United States
Traude H. Beilharz Australia
A G Hinnebusch United States
Alexei Korennykh relative to Krishna M. Vattem United States Krishna M. Vattem's profile →
Citations per field
00.5×1.5×2.2×
Krishna M. Vattem · 1×
Citations per year

Countries citing papers authored by Alexei Korennykh

Since Specialization
Citations

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

Fields of papers citing papers by Alexei Korennykh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202151
3 201929
4 201948
5 201949
6 201810
7 2017121
8 2017110
9 201432
10 201245
11 2011124
12 201149
13 201161
14 2010266
15 2008268
16 200811
17
The unfolded protein response signals through high-order assembly of Ire1breakdown →
2008512
18 200715
19 200645
20 20043

About Alexei Korennykh

Alexei Korennykh is a scholar working on Immunology, Cell Biology and Molecular Biology, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA regulation and disease (14 papers), Endoplasmic Reticulum Stress and Disease (10 papers), interferon and immune responses (9 papers), RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (7 papers), Autophagy in Disease and Therapy (4 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Cell Biology (1.3k citations), Aging (65 citations) and Molecular Biology (1.7k citations). Alexei Korennykh has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include Peter Walter, Jesse Donovan, Sneha Rath, Kevan M. Shokat, Pascal F. Egea, Janet Finer-Moore, Robert M. Stroud, А.A. Коростелев, Chao Zhang and Han Li.

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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