John W. Bishop

1.5k total citations
54 papers, 965 citations indexed

About

John W. Bishop is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, John W. Bishop has authored 54 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 15 papers in Surgery and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in John W. Bishop's work include Cervical Cancer and HPV Research (14 papers), Molecular Biology Techniques and Applications (5 papers) and AI in cancer detection (4 papers). John W. Bishop is often cited by papers focused on Cervical Cancer and HPV Research (14 papers), Molecular Biology Techniques and Applications (5 papers) and AI in cancer detection (4 papers). John W. Bishop collaborates with scholars based in United States, Australia and Pakistan. John W. Bishop's co-authors include Alexander D. Borowsky, Austin Todd, Stavros G. Demos, Zachary T. Harmany, Richard M. Levenson, Miao Tian, Farzad Fereidouni, Mirna Lechpammer, John D. McPherson and Lydia Pleotis Howell and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Brain Research.

In The Last Decade

John W. Bishop

54 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John W. Bishop United States 17 314 199 167 164 153 54 965
Jelena Mirković United States 20 229 0.7× 274 1.4× 220 1.3× 102 0.6× 123 0.8× 45 1.1k
Martial Guillaud Canada 22 388 1.2× 162 0.8× 262 1.6× 187 1.1× 287 1.9× 107 1.5k
Walid E. Khalbuss United States 21 292 0.9× 359 1.8× 559 3.3× 373 2.3× 91 0.6× 91 1.5k
Charles D. Sturgis United States 23 317 1.0× 227 1.1× 347 2.1× 500 3.0× 90 0.6× 100 1.6k
Jacqueline Spayne Canada 15 120 0.4× 97 0.5× 82 0.5× 250 1.5× 347 2.3× 22 829
Adela Saco Spain 22 453 1.4× 70 0.4× 329 2.0× 169 1.0× 89 0.6× 59 1.1k
H. Bharucha United Kingdom 17 398 1.3× 113 0.6× 290 1.7× 137 0.8× 70 0.5× 46 964
Neely Atkinson United States 14 156 0.5× 215 1.1× 97 0.6× 260 1.6× 219 1.4× 19 1.0k
James V. Little United States 17 96 0.3× 176 0.9× 113 0.7× 91 0.6× 613 4.0× 30 1.2k
Christian Dannecker Germany 19 431 1.4× 154 0.8× 392 2.3× 82 0.5× 32 0.2× 49 937

Countries citing papers authored by John W. Bishop

Since Specialization
Citations

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

Fields of papers citing papers by John W. Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John W. Bishop

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

All Works

20 of 20 papers shown
1.
Lechpammer, Mirna, Austin Todd, Alexander D. Borowsky, et al.. (2024). Neuropathological Applications of Microscopy with Ultraviolet Surface Excitation (MUSE): A Concordance Study of Human Primary and Metastatic Brain Tumors. Brain Sciences. 14(1). 108–108. 1 indexed citations
2.
Fereidouni, Farzad, Zachary T. Harmany, Miao Tian, et al.. (2017). Microscopy with ultraviolet surface excitation for rapid slide-free histology. Nature Biomedical Engineering. 1(12). 957–966. 182 indexed citations
3.
Goodman, Laura F., Cyrus Bateni, John W. Bishop, & Robert J. Canter. (2016). Delayed phlegmon with gallstone fragments masquerading as soft tissue sarcoma. Journal of Surgical Case Reports. 2016(6). rjw106–rjw106. 4 indexed citations
4.
Engelberg, Jesse A., Hanna Retallack, Ronald Balassanian, et al.. (2015). “Score the Core” Web-based pathologist training tool improves the accuracy of breast cancer IHC4 scoring. Human Pathology. 46(11). 1694–1704. 11 indexed citations
5.
Smith, Zachary J., et al.. (2015). Preliminary fsLIBS study on bone tumors. Biomedical Optics Express. 6(12). 4850–4850. 9 indexed citations
6.
Huang, Eric C., Yanhong Zhang, John W. Bishop, Regina Gandour‐Edwards, & Alaa Afify. (2015). Diffuse pulmonary meningotheliomatosis: A diagnostically challenging entity on fine‐needle aspiration cytology. Diagnostic Cytopathology. 43(9). 727–730. 8 indexed citations
7.
Fatakdawala, Hussain, Dimitris Gorpas, John W. Bishop, et al.. (2015). Fluorescence Lifetime Imaging Combined with Conventional Intravascular Ultrasound for Enhanced Assessment of Atherosclerotic Plaques: an Ex Vivo Study in Human Coronary Arteries. Journal of Cardiovascular Translational Research. 8(4). 253–263. 34 indexed citations
8.
Borys, Dariusz, Robert J. Canter, Benjamin Hoch, et al.. (2012). P16 expression predicts necrotic response among patients with osteosarcoma receiving neoadjuvant chemotherapy. Human Pathology. 43(11). 1948–1954. 22 indexed citations
9.
Howell, Lydia Pleotis, et al.. (2009). Living with uncertainty: Equivocal Pap test results and the evolution of ASC terminology. Diagnostic Cytopathology. 38(3). 221–232. 5 indexed citations
10.
Bishop, John W., et al.. (2002). Machine scoring of Her2/neu immunohistochemical stains.. PubMed. 24(5). 257–62. 7 indexed citations
11.
Bergeron, Christine, et al.. (2001). Accuracy of Thin-Layer Cytology in Patients Undergoing Cervical Cone Biopsy. Acta Cytologica. 45(4). 519–524. 37 indexed citations
12.
Bishop, John W., Chris Marshall, & Joel S. Bentz. (2000). New technologies in gynecologic cytology.. PubMed. 45(9). 701–19. 17 indexed citations
13.
Bishop, John W., et al.. (1999). Multicenter Comparison of Manual and Automated Screening of AutoCyte Gynecologic Preparations. Acta Cytologica. 43(1). 34–38. 19 indexed citations
14.
Bishop, John W., et al.. (1999). Utility of Residual AutoCyte Cervical Cytology Samples for Image Analysis. Acta Cytologica. 43(1). 39–46. 3 indexed citations
15.
Bishop, John W., et al.. (1998). Multicenter Masked Evaluation of AutoCyte PREP Thin Layers with Matched Conventional Smears. Acta Cytologica. 42(1). 189–197. 100 indexed citations
16.
Bishop, John W., et al.. (1998). Cell recovery and appearance in thin-layer preparations in nongynecologic cytology.. PubMed. 20(4). 229–37. 10 indexed citations
17.
Healy, James C., et al.. (1997). The Cost of Diagnosis. CHEST Journal. 111(4). 870–876. 32 indexed citations
18.
Bishop, John W., et al.. (1997). Time Interval Effect on Repeat Cervical Smear Results. Acta Cytologica. 41(2). 269–276. 18 indexed citations
19.
Bishop, John W.. (1997). Comparison of the CytoRich System with Conventional Cervical Cytology. Acta Cytologica. 41(1). 15–23. 23 indexed citations
20.
Frank, Albert R., David M. Lefkowitz, Lisa S. Gobar, et al.. (1995). Decision logic for retreatment of asymptomatic lung cancer recurrence based on positron emission tomography findings. International Journal of Radiation Oncology*Biology*Physics. 32(5). 1495–1512. 78 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026