David S. Wrenn

20 total papers · 1.8k total citations
20 papers, 1.6k citations indexed

About

David S. Wrenn is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David S. Wrenn has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David S. Wrenn's work include Connective tissue disorders research (10 papers), Pulmonary Hypertension Research and Treatments (6 papers) and Protease and Inhibitor Mechanisms (6 papers). David S. Wrenn is often cited by papers focused on Connective tissue disorders research (10 papers), Pulmonary Hypertension Research and Treatments (6 papers) and Protease and Inhibitor Mechanisms (6 papers). David S. Wrenn collaborates with scholars based in United States and Italy. David S. Wrenn's co-authors include Robert P. Mecham, Gail L. Griffin, Robert M. Senior, Aleksander Hinek, Samuel H. Barondes, Dan W. Urry, Kari U. Prasad, Nicholas S. Hill, Robert P. Mecham and William C. Parks and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

David S. Wrenn

20 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David S. Wrenn 694 442 440 379 289 20 1.6k
Masahito Horiguchi 666 1.0× 896 2.0× 623 1.4× 296 0.8× 166 0.6× 21 2.0k
Lior Zilberberg 638 0.9× 822 1.9× 278 0.6× 396 1.0× 226 0.8× 24 1.7k
Hisae Hori 607 0.9× 841 1.9× 467 1.1× 220 0.6× 408 1.4× 57 2.2k
Kerstin Tiedemann 802 1.2× 807 1.8× 466 1.1× 306 0.8× 208 0.7× 40 1.8k
Pat Whiteman 638 0.9× 548 1.2× 280 0.6× 265 0.7× 120 0.4× 25 1.3k
János Polgár 345 0.5× 522 1.2× 117 0.3× 583 1.5× 265 0.9× 36 2.2k
Sacha A. Jensen 772 1.1× 553 1.3× 388 0.9× 185 0.5× 131 0.5× 34 1.4k
John G. Harpel 204 0.3× 1.2k 2.7× 271 0.6× 308 0.8× 384 1.3× 21 2.0k
William T. Roswit 234 0.3× 678 1.5× 615 1.4× 170 0.4× 339 1.2× 25 2.2k
Saryu N. Dixit 197 0.3× 341 0.8× 285 0.6× 382 1.0× 411 1.4× 41 1.6k

Countries citing papers authored by David S. Wrenn

Since Specialization
Citations

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

Fields of papers citing papers by David S. Wrenn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Wrenn

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

All Works

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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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