Maxim N. Artyomov

37.0k citations
136 papers · 15.6k indexed · 16 hit papers · h-index 55
Topics
Immune Cell Function and Interaction (30 papers)Immune cells in cancer (25 papers)T-cell and B-cell Immunology (24 papers)

In The Last Decade

Maxim N. Artyomov

134 papers receiving 15.5k citations

Hit Papers

Network Integration of Parallel Metabolic and Transcripti...2014202620182022201520162014201420174008001.2k

Peers

Maxim N. Artyomov
Comparison fields: 5 of 154
  • Immunology 8.3k
  • Molecular Biology 5.7k
  • Epidemiology 2.2k
  • Neurology 1.8k
  • Oncology 1.8k
Replace Joachim L. Schultze with:
Joachim L. Schultze Germany
Thomas Korn Germany
Marco A. Cassatella Italy
Mathias Heikenwälder Germany
Jon D. Laman Netherlands
Terry K. Means United States
Brian G. Monks United States
Stanley Ching‐Cheng Huang United States
Krzysztof Selmaj Poland
Akihiko Yoshimura Japan
Maxim N. Artyomov relative to Joachim L. Schultze Germany Joachim L. Schultze's profile →
Citations per field
00.5×1.7×
Joachim L. Schultze · 1×
Citations per year

Countries citing papers authored by Maxim N. Artyomov

Since Specialization
Citations

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

Fields of papers citing papers by Maxim N. Artyomov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxim N. Artyomov. 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 Maxim N. Artyomov. The network helps show where Maxim N. Artyomov may publish in the future.

Co-authorship network of co-authors of Maxim N. Artyomov

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim N. Artyomov. A scholar is included among the top collaborators of Maxim N. Artyomov 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 Maxim N. Artyomov. Maxim N. Artyomov 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 2
2 2
3 19
4 14
5 16
6 0
7 5
8 8
9 11
10 14
11 93
12 84
13 11
14 30
15 213
16 34
17 200
18
The microbial metabolite desaminotyrosine protects from influenza through type I interferonbreakdown →
403
19 80
20 324

About Maxim N. Artyomov

Maxim N. Artyomov is a scholar working on Immunology, Neurology and Biological Psychiatry, having authored 136 papers that have together received 15.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (30 papers), Immune cells in cancer (25 papers) and T-cell and B-cell Immunology (24 papers). The work is most often cited by research in Immunology (8.3k citations), Neurology (1.8k citations) and Biological Psychiatry (531 citations). Maxim N. Artyomov has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Stanley Ching‐Cheng Huang, Edward J. Pearce, Alexey Sergushichev, Ekaterina Loginicheva, Bart Everts, Yulia Ivanova, Luke O'neill, Vicky Lampropoulou, Irina Shchukina and Robert D. Schreiber. Their work appears in journals such as Nature, Science and Cell.

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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