Mikhail Kolosov

595 citations
21 papers · 498 indexed · h-index 10
Topics
Cytokine Signaling Pathways and Interactions (10 papers)Tuberculosis Research and Epidemiology (3 papers)Immune Response and Inflammation (3 papers)
Partner nations
United StatesRussiaChina

In The Last Decade

Mikhail Kolosov

21 papers receiving 493 citations

Peers

Mikhail Kolosov
Comparison fields: 5 of 78
  • Molecular Biology 224
  • Oncology 169
  • Immunology 143
  • Pharmacology 76
  • Organic Chemistry 60
Replace Roberta Venè with:
Roberta Venè Italy
Huailong Xu China
Ailian Xiong United States
Dominique Fokan Belgium
Lei-Chin Chen Taiwan
Shie-Pon Tzung United States
Jinbo Yang China
Hairong Sang United States
Zhuoxin Cheng China
Mikhail Kolosov relative to Roberta Venè Italy Roberta Venè's profile →
Citations per field
00.5×2.7×
Roberta Venè · 1×
Citations per year

Countries citing papers authored by Mikhail Kolosov

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Kolosov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Kolosov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Kolosov. A scholar is included among the top collaborators of Mikhail Kolosov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikhail Kolosov. Mikhail Kolosov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 11
3 1
4 1
5 31
6 46
7 4
8 8
9 137
10 24
11 60
12 83
13
mRNA stabilization in continuous flow translation system.
1
14 7
15 6
16 3
17 8
18 27
19 7
20
A COMPARISON OF 2 FORMS OF ESCHERICHIA-COLI 16S RNA BY HYDROLYSIS WITH RNASE H IN THE PRESENCE OF SYNTHETIC HEXADEOXYRIBONUCLEOTIDES WITH RANDOM BASE SEQUENCES
3

About Mikhail Kolosov

Mikhail Kolosov is a scholar working on Immunology, Oncology and Toxicology, having authored 21 papers that have together received 498 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (10 papers), Tuberculosis Research and Epidemiology (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Pharmacology (76 citations), Immunology (143 citations) and Oncology (169 citations). Mikhail Kolosov has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Julie Tebo, Raj Kishore, Thomas A. Hamilton, David J. Tweardy, Moses M. Kasembeli, T. Kris Eckols, Uddalak Bharadwaj, Lacey E. Dobrolecki, Irina Kolosova and Ammar Adam. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Blood.

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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