David Coven

16 total papers · 1.1k total citations
8 papers, 893 citations indexed

About

David Coven is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, David Coven has authored 8 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Molecular Biology. Recurrent topics in David Coven's work include Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Cardiovascular Function and Risk Factors (4 papers). David Coven is often cited by papers focused on Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Cardiovascular Function and Risk Factors (4 papers). David Coven collaborates with scholars based in United States and Netherlands. David Coven's co-authors include Lawrence H. Young, Raymond R. Russell, Christoph Zechner, Marc Pypaert, Morris J. Birnbaum, Frank J. Giordano, James Mu, Monica Palmeri, Ji Li and Xiaoyue Hu and has published in prestigious journals such as Journal of Clinical Investigation, American Journal of Physiology-Endocrinology and Metabolism and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

David Coven

7 papers receiving 877 citations

Hit Papers

AMP-activated protein kin... 2004 2026 2011 2018 2004 200 400 600

Author Peers

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

Author Last Decade Papers Cites
David Coven 601 313 277 201 142 8 893
Yanqiu Xing 428 0.7× 189 0.6× 269 1.0× 169 0.8× 108 0.8× 23 726
Darya Zibrova 673 1.1× 188 0.6× 186 0.7× 139 0.7× 135 1.0× 10 954
Anita Y.M. Chan 500 0.8× 160 0.5× 273 1.0× 195 1.0× 133 0.9× 9 834
Snehal Desai 423 0.7× 187 0.6× 168 0.6× 153 0.8× 95 0.7× 15 814
Nanhu Quan 563 0.9× 154 0.5× 180 0.6× 120 0.6× 176 1.2× 26 939
Benjamin Wayment 592 1.0× 145 0.5× 593 2.1× 332 1.7× 103 0.7× 11 1.0k
Jingzang Tao 547 0.9× 161 0.5× 342 1.2× 115 0.6× 84 0.6× 7 970
Masakatsu Wakeno 433 0.7× 145 0.5× 409 1.5× 102 0.5× 75 0.5× 13 1.0k
Sang Yong Ji 348 0.6× 137 0.4× 293 1.1× 327 1.6× 56 0.4× 10 845
Youchun Jiang 370 0.6× 119 0.4× 327 1.2× 124 0.6× 94 0.7× 10 939

Countries citing papers authored by David Coven

Since Specialization
Citations

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

Fields of papers citing papers by David Coven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Coven

This figure shows the co-authorship network connecting the top 25 collaborators of David Coven. A scholar is included among the top collaborators of David Coven 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 Coven. David Coven 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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