Mark C. Poznansky

11.1k total citations · 4 hit papers
111 papers, 6.6k citations indexed

About

Mark C. Poznansky is a scholar working on Immunology, Oncology and Infectious Diseases. According to data from OpenAlex, Mark C. Poznansky has authored 111 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Immunology, 34 papers in Oncology and 28 papers in Infectious Diseases. Recurrent topics in Mark C. Poznansky's work include Immunotherapy and Immune Responses (25 papers), Chemokine receptors and signaling (18 papers) and T-cell and B-cell Immunology (16 papers). Mark C. Poznansky is often cited by papers focused on Immunotherapy and Immune Responses (25 papers), Chemokine receptors and signaling (18 papers) and T-cell and B-cell Immunology (16 papers). Mark C. Poznansky collaborates with scholars based in United States, United Kingdom and China. Mark C. Poznansky's co-authors include Ivona T. Olszak, Fabrizio Vianello, A. John Iafrate, Alejandro B. Balazs, David J. Gregory, Kerri St. Denis, Jared Feldman, Vivek Naranbhai, Adam D. Nitido and Evan C. Lam and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mark C. Poznansky

105 papers receiving 6.5k citations

Hit Papers

Multiple SARS-CoV-2... 2005 2026 2012 2019 2021 2012 2022 2005 250 500 750

Peers

Mark C. Poznansky
Comparison fields: 5 of 138
  • Immunology 2.2k
  • Infectious Diseases 1.8k
  • Oncology 1.8k
  • Molecular Biology 1.7k
  • Biomedical Engineering 551
Replace Eui‐Cheol Shin with:
Eui‐Cheol Shin South Korea
Manuela Nebuloni Italy
Peter D. Burbelo United States
Elizabeth J. Read United States
Michael A. Brehm United States
David G. Brooks United States
Norio Shimizu Japan
Krishna V. Komanduri United States
Paul D. Rennert United States
Stefan Lienenklaus Germany
Eui‐Cheol Shin South Korea View profile →
Citations per field, relative to Mark C. Poznansky
Mark C. Poznansky · 1×
Citations per year, relative to Mark C. Poznansky
Mark C. Poznansky · 1×

Countries citing papers authored by Mark C. Poznansky

Since Specialization
Citations

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

Fields of papers citing papers by Mark C. Poznansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark C. Poznansky. 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 Mark C. Poznansky. The network helps show where Mark C. Poznansky may publish in the future.

Co-authorship network of co-authors of Mark C. Poznansky

This figure shows the co-authorship network connecting the top 25 collaborators of Mark C. Poznansky. A scholar is included among the top collaborators of Mark C. Poznansky 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 Mark C. Poznansky. Mark C. Poznansky 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
# Work Indexed citations
1 1
2 13
3 1
4 14
5 14
6 6
7 9
8 11
9 21
10 22
11 76
12 191
13 12
14 8
15 103
16 47
17 81
18 11
19 12
20 2

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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