David J. Loskutoff
- Cancer Research top 0.05%
- Hematology top 0.05%
- Molecular Biology top 1%
- Immunology and Allergy top 0.05%
- Epidemiology top 0.5%
- Co-authors
- Michael SawdeyFahumiya SamadPeter SartipyDaniel A. LawrenceScott A. CurridenRaymond R. SchleefL.A. EricksonDietmar Seiffert
- Topics
- Protease and Inhibitor Mechanisms (134 papers)Blood Coagulation and Thrombosis Mechanisms (94 papers)Cell Adhesion Molecules Research (64 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
David J. Loskutoff
198 papers receiving 18.7k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 8.5k
- Hematology 7.0k
- Molecular Biology 5.3k
- Immunology and Allergy 3.3k
- Epidemiology 3.2k
Countries citing papers authored by David J. Loskutoff
This map shows the geographic impact of David J. Loskutoff'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 J. Loskutoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Loskutoff more than expected).
Fields of papers citing papers by David J. Loskutoff
This network shows the impact of papers produced by David J. Loskutoff. 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 J. Loskutoff. The network helps show where David J. Loskutoff may publish in the future.
Co-authorship network of co-authors of David J. Loskutoff
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Loskutoff. A scholar is included among the top collaborators of David J. Loskutoff 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 J. Loskutoff. David J. Loskutoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 222 | |
| 3 | 101 | |
| 4 | 65 | |
| 5 | 129 | |
| 6 | 160 | |
| 7 | The kidneys of mice with autoimmune disease acquire a hypofibrinolytic/procoagulant state that correlates with the development of glomerulonephritis and tissue microthrombosis. | 28 |
| 8 | 14 | |
| 9 | 18 | |
| 10 | 90 | |
| 11 | 247 | |
| 12 | 43 | |
| 13 | 136 | |
| 14 | 81 | |
| 15 | 23 | |
| 16 | 21 | |
| 17 | 37 | |
| 18 | 37 | |
| 19 | 93 | |
| 20 | Membrane characteristics of cultured endothelial cells: identification of gap junction. | 3 |
About David J. Loskutoff
David J. Loskutoff is a scholar working on Immunology and Allergy, Cancer Research and Hematology, having authored 199 papers that have together received 19.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (134 papers), Blood Coagulation and Thrombosis Mechanisms (94 papers) and Cell Adhesion Molecules Research (64 papers). The work is most often cited by research in Hematology (7.0k citations), Cancer Research (8.5k citations) and Immunology and Allergy (3.3k citations). David J. Loskutoff has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Michael Sawdey, Fahumiya Samad, Peter Sartipy, Daniel A. Lawrence, Scott A. Curriden, Raymond R. Schleef, L.A. Erickson, Dietmar Seiffert, Thomas S. Edgington and Stavros Konstantinides. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.