М. В. Самсонова

790 citations
59 papers · 449 · h-index 12

Impact in

Papers in

    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 15
    • Chronic Obstructive Pulmonary Disease (COPD) Research 11
    • Medical Imaging and Pathology Studies 4
    • Sarcoidosis and Beryllium Toxicity Research 5
    • Tuberous Sclerosis Complex Research 4

М. В. Самсонова

45 papers receiving 436 citations

Peers

М. В. Самсонова
Comparison fields: 5 of 88
  • Neurology 53
  • Aging 6
  • Pulmonary and Respiratory Medicine 89
  • Infectious Diseases 50
  • Biophysics 16
Replace Chandani Sen with:
Chandani Sen United States
Anne Thouard France
Shunxin Wang China
Marc A. Schlüter Germany
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М. В. Самсонова relative to Chandani Sen United States Chandani Sen's profile →
Citations per field
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Citations per year

Countries citing papers authored by М. В. Самсонова

Since Specialization
Citations

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

Fields of papers citing papers by М. В. Самсонова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. В. Самсонова. 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 М. В. Самсонова. The network helps show where М. В. Самсонова may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200898
2 202036
3 201236
4 201624
5
A method for two-dimensional registration and construction of the two-dimensional atlas of gene expression patterns in situ.
200223
6 202018
7 202017
8 202017
9 202115
10 201613
11 201911
12 202311
13 20219
14 20029
15 20208
16 20228
17 20207
18 20207
19 20227
20 20206

About М. В. Самсонова

М. В. Самсонова is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Infectious Diseases, Molecular Biology and Neurology, having authored 59 papers that have together received 449 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (15 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (11 papers), COVID-19 Clinical Research Studies (8 papers), Long-Term Effects of COVID-19 (7 papers), Sarcoidosis and Beryllium Toxicity Research (5 papers), Tuberous Sclerosis Complex Research (4 papers), Medical Imaging and Pathology Studies (4 papers) and Congenital heart defects research (3 papers). The work is most often cited by research in Neurology (53 citations), Aging (6 citations), Pulmonary and Respiratory Medicine (89 citations), Infectious Diseases (50 citations) and Biophysics (16 citations). М. В. Самсонова has collaborated with scholars based in Russia, United States and Taiwan. Frequent co-authors include John Reinitz, Ivan A. Pisarev, Konstantin Kozlov, Ekaterina Myasnikova, Svetlana Surkova, Roland Schafleitner, Sergey V. Nuzhdin, Л.М. Михалева, Eric von Wettberg and Cheng‐Ruei Lee. Their work appears in journals such as BMC Plant Biology, Plants, PeerJ Computer Science, Life and Nucleic Acids Research.

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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