David R. Parks

6.9k total citations · 2 hit papers
57 papers, 5.3k citations indexed

About

David R. Parks is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David R. Parks has authored 57 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 18 papers in Immunology and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David R. Parks's work include Single-cell and spatial transcriptomics (19 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and T-cell and B-cell Immunology (14 papers). David R. Parks is often cited by papers focused on Single-cell and spatial transcriptomics (19 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and T-cell and B-cell Immunology (14 papers). David R. Parks collaborates with scholars based in United States, Russia and Canada. David R. Parks's co-authors include L A Herzenberg, Leonard A. Herzenberg, Leonore A. Herzenberg, Wayne Moore, Richard R. Hardy, Kyoko Hayakawa, Mario Roederer, James W. Tung, Vernon T. Oi and Bita Sahaf and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

David R. Parks

57 papers receiving 5.1k citations

Hit Papers

The "Ly-1 B" cell subpopulation in normal immunodefective... 1983 2026 1997 2011 1983 1986 200 400 600

Peers

David R. Parks
Comparison fields: 5 of 159
  • Molecular Biology 2.3k
  • Immunology 2.2k
  • Radiology, Nuclear Medicine and Imaging 974
  • Oncology 566
  • Biomedical Engineering 497
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Citations per field, relative to David R. Parks
David R. Parks · 1×
Citations per year, relative to David R. Parks
David R. Parks · 1×

Countries citing papers authored by David R. Parks

Since Specialization
Citations

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

Fields of papers citing papers by David R. Parks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Parks. 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 David R. Parks. The network helps show where David R. Parks may publish in the future.

Co-authorship network of co-authors of David R. Parks

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Parks. A scholar is included among the top collaborators of David R. Parks 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 David R. Parks. David R. Parks 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 9
2 13
3 7
4 151
5 353
6
Performance of Ultra-Scale Applications on Leading Vector and Scalar HPC Platforms
1
7 117
8 40
9 405
10 218
11 1
12 76
13 5
14 16
15 177
16 126
17
The LY‐1B Cell Lineage breakdown →
521
18 97
19
The "Ly-1 B" cell subpopulation in normal immunodefective, and autoimmune mice. breakdown →
692
20 152

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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