David A. Wassarman

11.2k citations
68 papers · 3.9k indexed · 1 hit paper · h-index 30
Topics
Genomics and Chromatin Dynamics (15 papers)RNA Research and Splicing (12 papers)Invertebrate Immune Response Mechanisms (8 papers)

In The Last Decade

David A. Wassarman

65 papers receiving 3.8k citations

Hit Papers

Drosophila homologs of baculovirus inhibitor of apoptosis...19952026200520151995200400600

Peers

David A. Wassarman
Comparison fields: 5 of 114
  • Molecular Biology 3.0k
  • Cellular and Molecular Neuroscience 549
  • Immunology 503
  • Cell Biology 472
  • Genetics 343
Replace Cheng‐Ting Chien with:
Cheng‐Ting Chien Taiwan
Joshua S. Kaminker United States
Dan Garza United States
Shinya Yamamoto United States
Bertrand Mollereau France
Marc Hild United States
Enrico Schmidt Germany
Ming Guo United States
Richard Binari United States
Molly Craxton United Kingdom
David A. Wassarman relative to Cheng‐Ting Chien Taiwan Cheng‐Ting Chien's profile →
Citations per field
00.5×2.6×
Cheng‐Ting Chien · 1×
Citations per year

Countries citing papers authored by David A. Wassarman

Since Specialization
Citations

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

Fields of papers citing papers by David A. Wassarman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Wassarman

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Wassarman. A scholar is included among the top collaborators of David A. Wassarman 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 A. Wassarman. David A. Wassarman 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 0
2 1
3 6
4 3
5 7
6 5
7 9
8 17
9 32
10 111
11 13
12 10
13 104
14 11
15 69
16 45
17 46
18 207
19 25
20 17

About David A. Wassarman

David A. Wassarman is a scholar working on Developmental Neuroscience, Aging and Molecular Biology, having authored 68 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), RNA Research and Splicing (12 papers) and Invertebrate Immune Response Mechanisms (8 papers). The work is most often cited by research in Aging (218 citations), Molecular Biology (3.0k citations) and Cellular and Molecular Neuroscience (549 citations). David A. Wassarman has collaborated with scholars based in United States, Germany and Pakistan. Frequent co-authors include Gerald M. Rubin, Joan A. Steitz, Bruce A. Hay, Marc Therrien, Rebeccah J. Katzenberger, Felix Karim, Henry C. Chang, Noah M. Solomon, Andrew J. Petersen and Barry Ganetzky. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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