David Zidar

1.8k total citations
2 papers, 105 citations indexed

About

David Zidar is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David Zidar has authored 2 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in David Zidar's work include Protease and Inhibitor Mechanisms (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and Sex and Gender in Healthcare (1 paper). David Zidar is often cited by papers focused on Protease and Inhibitor Mechanisms (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and Sex and Gender in Healthcare (1 paper). David Zidar collaborates with scholars based in United States and United Kingdom. David Zidar's co-authors include Toshifumi Morooka, Shuichi Yoneda, Can Shi, Roy L. Silverstein, Kevin Croce, Nancy Hogg, Alvin H. Schmaier, Masashi Sakuma, Gill Stephens and Yunmei Wang and has published in prestigious journals such as Journal of Clinical Investigation and CHEST Journal.

In The Last Decade

David Zidar

2 papers receiving 104 citations

Peers

David Zidar
Patrick Thomas United Kingdom
Rachel T. van Beem Netherlands
Carly Kempster United Kingdom
Meera Marji United States
D. Gailani United States
S.C. Heslinga Netherlands
Patrick Thomas United Kingdom
David Zidar
Citations per year, relative to David Zidar David Zidar (= 1×) peers Patrick Thomas

Countries citing papers authored by David Zidar

Since Specialization
Citations

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

Fields of papers citing papers by David Zidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Zidar

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

All Works

2 of 2 papers shown
1.
Tashtish, Nour, et al.. (2019). ASTHMA IS ASSOCIATED WITH LOWER RISK OF MORTALITY IN PATIENTS ADMITTED WITH ACUTE MYOCARDIAL INFARCTION. CHEST Journal. 156(4). A37–A38. 1 indexed citations
2.
Wang, Yunmei, Chao Fang, Huiyun Gao, et al.. (2014). Platelet-derived S100 family member myeloid-related protein-14 regulates thrombosis. Journal of Clinical Investigation. 124(5). 2160–2171. 104 indexed citations

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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