B.A. Pesch

583 total citations
18 papers, 434 citations indexed

About

B.A. Pesch is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, B.A. Pesch has authored 18 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in B.A. Pesch's work include Mycobacterium research and diagnosis (7 papers), Immune Cell Function and Interaction (4 papers) and Immune Response and Inflammation (4 papers). B.A. Pesch is often cited by papers focused on Mycobacterium research and diagnosis (7 papers), Immune Cell Function and Interaction (4 papers) and Immune Response and Inflammation (4 papers). B.A. Pesch collaborates with scholars based in United States, Australia and Tanzania. B.A. Pesch's co-authors include James A. Harp, Michael J. Wannemuehler, Monica R. Foote, Julia M. Smith, Brian J. Nonnecke, Ronald Fayer, G. J. Jackson, M.E. Van Amburgh, W. Ray Waters and P. L. Runnels and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Virology and Infection and Immunity.

In The Last Decade

B.A. Pesch

18 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B.A. Pesch United States 12 131 122 119 110 92 18 434
Paolo Pozzi Italy 11 79 0.6× 85 0.7× 61 0.5× 86 0.8× 107 1.2× 25 425
Christelle Rossignol France 11 42 0.3× 37 0.3× 40 0.3× 107 1.0× 80 0.9× 22 352
Robert Tremblay Canada 10 107 0.8× 71 0.6× 43 0.4× 179 1.6× 67 0.7× 18 356
Solvej Østergaard Breum Denmark 13 240 1.8× 93 0.8× 119 1.0× 91 0.8× 62 0.7× 18 457
J. Krejčí Czechia 14 90 0.7× 57 0.5× 81 0.7× 60 0.5× 128 1.4× 41 407
Wilia Marta Elsner Diederichsen de Brito Brazil 10 135 1.0× 29 0.2× 84 0.7× 70 0.6× 52 0.6× 28 305
Timothy W. J. Olchowy United States 13 67 0.5× 63 0.5× 30 0.3× 95 0.9× 54 0.6× 30 328
R. W. Sweeney United States 9 50 0.4× 71 0.6× 137 1.2× 28 0.3× 68 0.7× 16 398
Ennio Taccini Italy 10 34 0.3× 90 0.7× 96 0.8× 38 0.3× 109 1.2× 16 345
Glock Rd 10 96 0.7× 195 1.6× 64 0.5× 19 0.2× 67 0.7× 12 363

Countries citing papers authored by B.A. Pesch

Since Specialization
Citations

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

Fields of papers citing papers by B.A. Pesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.A. Pesch. 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 B.A. Pesch. The network helps show where B.A. Pesch may publish in the future.

Co-authorship network of co-authors of B.A. Pesch

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

All Works

18 of 18 papers shown
1.
Pesch, B.A., et al.. (2015). ZAP-70, CTLA-4 and proximal T cell receptor signaling in cows infected with Mycobacterium avium subsp. paratuberculosis. Veterinary Immunology and Immunopathology. 167(1-2). 15–21. 12 indexed citations
2.
Lawless, Nathan, Timothy A. Reinhardt, Kenneth Bryan, et al.. (2014). MicroRNA Regulation of Bovine Monocyte Inflammatory and Metabolic Networks in anIn VivoInfection Model. G3 Genes Genomes Genetics. 4(6). 957–971. 44 indexed citations
3.
Harp, James A., Judith R. Stabel, B.A. Pesch, & Jesse P. Goff. (2003). Expression of adhesion molecules on milk and blood lymphocytes from periparturient dairy cattle with Johne’s disease. Veterinary Immunology and Immunopathology. 98(1-2). 69–76. 9 indexed citations
4.
Nonnecke, Brian J., Monica R. Foote, Julia M. Smith, B.A. Pesch, & M.E. Van Amburgh. (2003). Composition and Functional Capacity of Blood Mononuclear Leukocyte Populations from Neonatal Calves on Standard and Intensified Milk Replacer Diets. Journal of Dairy Science. 86(11). 3592–3604. 80 indexed citations
5.
Dorn, A., et al.. (2002). Characterization of mitogen-stimulated porcine lymphocytes using a stable fluorescent dye (PKH2) and multicolor flow cytometry. Veterinary Immunology and Immunopathology. 87(1-2). 1–10. 18 indexed citations
6.
Pesch, B.A., et al.. (2001). Flow cytometric analysis of intracellular complexity and CD45 expression for use in rapid differentiation of leukocytes in bovine blood samples. American Journal of Veterinary Research. 62(11). 1740–1744. 9 indexed citations
7.
Waters, W. Ray, Mitchell V. Palmer, B.A. Pesch, et al.. (2000). Lymphocyte subset proliferative responses of Mycobacterium bovis-infected cattle to purified protein derivative. Veterinary Immunology and Immunopathology. 77(3-4). 257–273. 29 indexed citations
8.
Stabel, Thomas J., et al.. (2000). A simple and rapid flow cytometric method for detection of porcine cell surface markers. Journal of Immunological Methods. 245(1-2). 147–152. 14 indexed citations
9.
Waters, W. Ray, Mitchell V. Palmer, B.A. Pesch, et al.. (2000). MHC class II-restricted, CD4+ T-cell proliferative responses of peripheral blood mononuclear cells from Mycobacterium bovis-infected white-tailed deer. Veterinary Immunology and Immunopathology. 76(3-4). 215–229. 16 indexed citations
10.
11.
Waters, W. Ray, Michael J. Wannemuehler, Randy E. Sacco, et al.. (1999). Cryptosporidium Parvum-Induced Inflammatory Bowel Disease of TCR-b- x TCR-d-Deficient Mice. Journal of Parasitology. 85(6). 1100–1100. 9 indexed citations
12.
Harp, James A., et al.. (1999). Changes in murine intestinal epithelium following Cryptosporidium parvum infection.. PubMed. 46(5). 64S–65S. 3 indexed citations
13.
Harp, James A., et al.. (1999). Antigen-Specific B-Cell Unresponsiveness Induced by Chronic Mycobacterium avium subsp.paratuberculosis Infection of Cattle. Infection and Immunity. 67(4). 1593–1598. 1 indexed citations
14.
Stabel, J. R., et al.. (1999). Antigen-Specific B-Cell Unresponsiveness Induced by ChronicMycobacterium aviumsubsp.paratuberculosisInfection of Cattle. Infection and Immunity. 67(4). 1593–1598. 43 indexed citations
15.
Whetstone, Cecelia A., David L. Suarez, Janice Μ. Miller, B.A. Pesch, & James A. Harp. (1997). Bovine lentivirus induces early transient B-cell proliferation in experimentally inoculated cattle and appears to be pantropic. Journal of Virology. 71(1). 640–644. 23 indexed citations
16.
Harp, James A., Ronald Fayer, B.A. Pesch, & G. J. Jackson. (1996). Effect of pasteurization on infectivity of Cryptosporidium parvum oocysts in water and milk. Applied and Environmental Microbiology. 62(8). 2866–2868. 65 indexed citations
17.
Harp, James A., B.A. Pesch, & P. L. Runnels. (1990). Extravasation of lymphocytes via paracortical venules in sheep lymph nodes: Visualization using an intracellular fluorescent label. Veterinary Immunology and Immunopathology. 24(2). 159–167. 9 indexed citations
18.
Harp, James A., P. L. Runnels, & B.A. Pesch. (1988). Lymphocyte recirculation in cattle: Patterns of localization by mammary and mesenteric lymph node lymphocytes. Veterinary Immunology and Immunopathology. 20(1). 31–39. 23 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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