Jeffrey J. Bishop

844 total citations
19 papers, 681 citations indexed

About

Jeffrey J. Bishop is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Physiology. According to data from OpenAlex, Jeffrey J. Bishop has authored 19 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 5 papers in Epidemiology and 5 papers in Physiology. Recurrent topics in Jeffrey J. Bishop's work include Blood properties and coagulation (8 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Jeffrey J. Bishop is often cited by papers focused on Blood properties and coagulation (8 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Jeffrey J. Bishop collaborates with scholars based in United States, United Kingdom and Spain. Jeffrey J. Bishop's co-authors include Paul C. Johnson, Aleksander S. Popel, Marcos Intaglietta, Patricia R. Nance, Johanna Sandlund, Joel Estis, Niamh Nolan, John A. Todd, Michèle Gilbert and Álvaro García‐Osuna and has published in prestigious journals such as Analytical Biochemistry, Journal of Clinical Microbiology and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Jeffrey J. Bishop

19 papers receiving 658 citations

Peers

Jeffrey J. Bishop
Daniel J. Cho United States
R. J. Dellenback United States
James H. Barbee United States
Yixiang Deng United States
RJ Dellenback
Goldsmith Hl
Alfrey Cp United States
M Motomiya Japan
Giuseppe Esposito Italy
T Somer Finland
Daniel J. Cho United States
Jeffrey J. Bishop
Citations per year, relative to Jeffrey J. Bishop Jeffrey J. Bishop (= 1×) peers Daniel J. Cho

Countries citing papers authored by Jeffrey J. Bishop

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey J. Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey J. Bishop

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

All Works

19 of 19 papers shown
1.
2.
Dang, Tam, et al.. (2019). Effect of Health and Training on Ultrasensitive Cardiac Troponin in Marathon Runners. The Journal of Applied Laboratory Medicine. 3(5). 775–787. 3 indexed citations
3.
García‐Osuna, Álvaro, David Gaze, Jeffrey J. Bishop, et al.. (2018). Ultrasensitive quantification of cardiac troponin I by a Single Molecule Counting method: analytical validation and biological features. Clinica Chimica Acta. 486. 224–231. 37 indexed citations
4.
Young, Stephen P., Ray Mills, Stanley Tam, et al.. (2018). 1088. Ultrasensitive Detection of C. difficile Toxins in Stool Using Single Molecule Counting Technology: A Multicenter Study for Evaluation of Clinical Performance. Open Forum Infectious Diseases. 5(suppl_1). S325–S326. 1 indexed citations
5.
Sandlund, Johanna, Stanley Tam, Jeffrey J. Bishop, et al.. (2018). Ultrasensitive Detection of Clostridioides difficile Toxins A and B by Use of Automated Single-Molecule Counting Technology. Journal of Clinical Microbiology. 56(11). 30 indexed citations
6.
Mukherjee, Ali, et al.. (2018). Expanding the Utility of High-Sensitivity Dried Blood Spot Immunoassay Testing with Single Molecule Counting. The Journal of Applied Laboratory Medicine. 2(5). 674–686. 4 indexed citations
7.
Mukherjee, Ali, et al.. (2018). 1093. Single Molecule Counting Technology for Ultrasensitive Quantification of Clostridium difficile Toxins A and B. Open Forum Infectious Diseases. 5(suppl_1). S327–S327. 4 indexed citations
8.
Friedman, Eitan, Alan H.B. Wu, John A. Todd, et al.. (2017). Clinical utility of single molecule counting technology for quantification of KIM-1 in patients with heart failure and chronic kidney disease. Clinical Biochemistry. 50(16-17). 889–895. 2 indexed citations
9.
Gilbert, Michèle, et al.. (2016). Multiplex single molecule counting technology used to generate interleukin 4, interleukin 6, and interleukin 10 reference limits. Analytical Biochemistry. 503. 11–20. 17 indexed citations
10.
Bishop, Jeffrey J., et al.. (2007). Red blood cell velocity profiles in skeletal muscle venules at low flow rates are described by the Casson model.. PubMed. 36(3). 217–33. 16 indexed citations
11.
Bishop, Jeffrey J., Patricia R. Nance, Aleksander S. Popel, Marcos Intaglietta, & Paul C. Johnson. (2004). Relationship between erythrocyte aggregate size and flow rate in skeletal muscle venules. American Journal of Physiology-Heart and Circulatory Physiology. 286(1). H113–H120. 48 indexed citations
12.
Bishop, Jeffrey J., Aleksander S. Popel, Marcos Intaglietta, & Paul C. Johnson. (2002). Effect of aggregation and shear rate on the dispersion of red blood cells flowing in venules. American Journal of Physiology-Heart and Circulatory Physiology. 283(5). H1985–H1996. 70 indexed citations
13.
Bishop, Jeffrey J., Aleksander S. Popel, Marcos Intaglietta, & Paul C. Johnson. (2001). Rheological effects of red blood cell aggregation in the venous network: A review of recent studies. Biorheology. 38(2-3). 263–274. 106 indexed citations
14.
Bishop, Jeffrey J., Patricia R. Nance, Aleksander S. Popel, Marcos Intaglietta, & Paul C. Johnson. (2001). Erythrocyte margination and sedimentation in skeletal muscle venules. American Journal of Physiology-Heart and Circulatory Physiology. 281(2). H951–H958. 31 indexed citations
15.
Bishop, Jeffrey J., Patricia R. Nance, Aleksander S. Popel, Marcos Intaglietta, & Paul C. Johnson. (2001). Effect of erythrocyte aggregation on velocity profiles in venules. American Journal of Physiology-Heart and Circulatory Physiology. 280(1). H222–H236. 187 indexed citations
16.
Bishop, Jeffrey J., Aleksander S. Popel, Marcos Intaglietta, & Paul C. Johnson. (2001). Effects of erythrocyte aggregation and venous network geometry on red blood cell axial migration. American Journal of Physiology-Heart and Circulatory Physiology. 281(2). H939–H950. 69 indexed citations
17.
Bishop, Jeffrey J., Patricia R. Nance, Aleksander S. Popel, Marcos Intaglietta, & Paul C. Johnson. (2000). Diameter changes in skeletal muscle venules during arterial pressure reduction. American Journal of Physiology-Heart and Circulatory Physiology. 279(1). H47–H57. 17 indexed citations
18.
Johnson, Paul C., Jeffrey J. Bishop, Aleksander S. Popel, & Marcos Intaglietta. (1999). Effects of red cell aggregation on the venous microcirculation. Biorheology. 36(5-6). 457–460. 20 indexed citations
19.
Bishop, Jeffrey J., et al.. (1998). A High-Affinity Hemoglobin Is Expressed in the Notochord of Amphioxus, Branchiostoma californiense. Biological Bulletin. 195(3). 255–259. 7 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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