Dmitri Pissarnitski

883 citations
27 papers · 485 indexed · h-index 15
Topics
Alzheimer's disease research and treatments (10 papers)Cholinesterase and Neurodegenerative Diseases (9 papers)Computational Drug Discovery Methods (8 papers)
Partner nations
United States

In The Last Decade

Dmitri Pissarnitski

27 papers receiving 469 citations

Peers

Dmitri Pissarnitski
Comparison fields: 5 of 71
  • Organic Chemistry 238
  • Molecular Biology 194
  • Pharmacology 102
  • Computational Theory and Mathematics 98
  • Physiology 81
Replace Brian A. McKittrick with:
Brian A. McKittrick United States
C. DUFRESNE United States
Wen‐Lian Wu United States
Hemaka A. Rajapakse United States
Theodros Asberom United States
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Katerina Otrubova United States
Ellen W. Baxter United States
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Dmitri Pissarnitski relative to Brian A. McKittrick United States Brian A. McKittrick's profile →
Citations per field
00.5×1.6×
Brian A. McKittrick · 1×
Citations per year

Countries citing papers authored by Dmitri Pissarnitski

Since Specialization
Citations

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

Fields of papers citing papers by Dmitri Pissarnitski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitri Pissarnitski

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitri Pissarnitski. A scholar is included among the top collaborators of Dmitri Pissarnitski 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 Dmitri Pissarnitski. Dmitri Pissarnitski 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 8
2 7
3 10
4 13
5 12
6 19
7 8
8 19
9 37
10 16
11 15
12 6
13 21
14 27
15 5
16 38
17 16
18 29
19 2
20 49

About Dmitri Pissarnitski

Dmitri Pissarnitski is a scholar working on Pharmacology, Computational Theory and Mathematics and Biotechnology, having authored 27 papers that have together received 485 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Cholinesterase and Neurodegenerative Diseases (9 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Organic Chemistry (238 citations), Computational Theory and Mathematics (98 citations) and Pharmacology (102 citations). Dmitri Pissarnitski has collaborated with scholars based in United States. Frequent co-authors include Leo A. Paquette, Louis Barriault, Zhiqiang Zhao, John W. Clader, William J. Greenlee, Jeffrey N. Johnston, Lixin Song, Eric M. Parker, Lynn A. Hyde and Theodros Asberom. Their work appears in journals such as Journal of the American Chemical Society, ACS Catalysis and Journal of Medicinal 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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