David R. Rawnsley

814 total citations
7 papers, 458 citations indexed

About

David R. Rawnsley is a scholar working on Surgery, Physiology and Molecular Biology. According to data from OpenAlex, David R. Rawnsley has authored 7 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in David R. Rawnsley's work include Lymphatic System and Diseases (2 papers), Congenital heart defects research (2 papers) and RNA modifications and cancer (1 paper). David R. Rawnsley is often cited by papers focused on Lymphatic System and Diseases (2 papers), Congenital heart defects research (2 papers) and RNA modifications and cancer (1 paper). David R. Rawnsley collaborates with scholars based in United States, Japan and China. David R. Rawnsley's co-authors include Mark L. Kahn, Zoltán Jakus, Paul R. Hess, Yi‐Qing Yang, Bernhard Nieswandt, Taija Mäkinen, Lijun Xia, Guillermo Oliver, Jisheng Yang and Daniel T. Sweet and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

David R. Rawnsley

7 papers receiving 457 citations

Peers

David R. Rawnsley
Comparison fields: 5 of 64
  • Oncology 165
  • Molecular Biology 152
  • Surgery 99
  • Physiology 82
  • Neurology 69
Replace Vincenza Caolo with:
Vincenza Caolo Netherlands
Manu Beerens United States
Robin G. Lerner United Kingdom
Lisa Honold Germany
Henrik Nyström Sweden
Mari Kiyono Japan
Svetlana Baranovskaya United States
Annegret Holm United States
Roberto Cuttano Italy
Krista Heinolainen Finland
Vincenza Caolo Netherlands View profile →
Citations per field, relative to David R. Rawnsley
David R. Rawnsley · 1×
Citations per year, relative to David R. Rawnsley
David R. Rawnsley · 1×

Countries citing papers authored by David R. Rawnsley

Since Specialization
Citations

This map shows the geographic impact of David R. Rawnsley'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. Rawnsley 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. Rawnsley more than expected).

Fields of papers citing papers by David R. Rawnsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Rawnsley. A scholar is included among the top collaborators of David R. Rawnsley 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. Rawnsley. David R. Rawnsley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 10
2 47
3 23
4 128
5 61
6 26
7 163

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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