David J. Robison

408 total citations
9 papers, 357 citations indexed

About

David J. Robison is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, David J. Robison has authored 9 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Cell Biology. Recurrent topics in David J. Robison's work include Blood Coagulation and Thrombosis Mechanisms (3 papers), Hemoglobin structure and function (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). David J. Robison is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (3 papers), Hemoglobin structure and function (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). David J. Robison collaborates with scholars based in United States and United Kingdom. David J. Robison's co-authors include David H. Bing, Bruce Furie, Richard J. Feldmann, B Furie, Richard Laura, John P. Burnier, Barbara C. Furie, Ali Moeini, P.S. Excell and Rita A. Blanchard and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Annals of the New York Academy of Sciences.

In The Last Decade

David J. Robison

9 papers receiving 330 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David J. Robison United States 6 199 129 72 67 39 9 357
F.D. Böhmer Germany 8 153 0.8× 322 2.5× 71 1.0× 40 0.6× 108 2.8× 13 489
Chu Myong Seong South Korea 12 119 0.6× 360 2.8× 36 0.5× 51 0.8× 133 3.4× 30 511
Ju In Eom South Korea 8 118 0.6× 362 2.8× 53 0.7× 56 0.8× 121 3.1× 10 475
Naotika Toki Japan 11 79 0.4× 179 1.4× 78 1.1× 100 1.5× 47 1.2× 51 403
Renee Neades United States 11 134 0.7× 249 1.9× 123 1.7× 59 0.9× 63 1.6× 14 456
Guilherme Augusto dos Santos Brazil 11 117 0.6× 317 2.5× 15 0.2× 98 1.5× 65 1.7× 25 406
H Kozutsumi Japan 9 90 0.5× 256 2.0× 23 0.3× 12 0.2× 53 1.4× 12 387
Claudia Lucotti Italy 7 147 0.7× 137 1.1× 79 1.1× 23 0.3× 62 1.6× 10 381
Liting Xue United States 8 171 0.9× 224 1.7× 76 1.1× 39 0.6× 46 1.2× 20 368
Francesca Alvarez‐Calderon United States 9 141 0.7× 239 1.9× 62 0.9× 75 1.1× 65 1.7× 12 438

Countries citing papers authored by David J. Robison

Since Specialization
Citations

This map shows the geographic impact of David J. Robison'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. Robison 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. Robison more than expected).

Fields of papers citing papers by David J. Robison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Robison

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

All Works

9 of 9 papers shown
1.
Earnshaw, Rae, et al.. (2011). Implementing Mixed Reality Games for Mobile Language Learning. Bradford Scholars (University of Bradford). 3 indexed citations
2.
Earnshaw, Rae, et al.. (2011). User Interface Design within a Mobile Educational Game. Bradford Scholars (University of Bradford). 1 indexed citations
3.
Excell, P.S., et al.. (2008). A psycho-pedagogical approach to m-learning in a developing-world context. International Journal of Mobile Learning and Organisation. 2(1). 62–62. 8 indexed citations
4.
Furie, Bruce, et al.. (1982). [5] Conformation-specific antibodies: approach to the study of the vitamin K-dependent blood coagulation proteins. Methods in enzymology on CD-ROM/Methods in enzymology. 84. 60–83. 9 indexed citations
5.
Furie, Bruce, David H. Bing, Richard J. Feldmann, et al.. (1982). Computer-generated models of blood coagulation factor Xa, factor IXa, and thrombin based upon structural homology with other serine proteases.. Journal of Biological Chemistry. 257(7). 3875–3882. 200 indexed citations
6.
Bing, David H., Richard Laura, David J. Robison, et al.. (1981). A COMPUTER‐GENERATED THREE‐DIMENSIONAL MODEL OF THE B CHAIN OF BOVINE α‐THROMBIN*. Annals of the New York Academy of Sciences. 370(1). 496–510. 33 indexed citations
7.
Furie, B, David H. Bing, David J. Robison, John P. Burnier, & Richard J. Feldmann. (1981). Three Dimensional Computer Graphics Models Of Bovine Factor Xa, Factor IXa And Thrombin. Thrombosis and Haemostasis. 1 indexed citations
8.
Robison, David J., B Furie, & David H. Bing. (1980). Active site of bovine factor Xa. Characterization using substituted benzamidines as competitive inhibitors and affinity-labeling reagents.. Journal of Biological Chemistry. 255(5). 2014–2021. 12 indexed citations
9.
Laura, Richard, David J. Robison, & David H. Bing. (1980). (p-Amidinophenyl)methanesulfonyl fluoride, an irreversible inhibitor of serine proteases. Biochemistry. 19(21). 4859–4864. 90 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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