John Hayman

5.5k citations
93 papers · 4.0k · h-index 34

Impact in

  • Small Animals top 0.1%
    • Infectious Diseases and Mycology
  • Epidemiology top 0.5%
    • Mycobacterium research and diagnosis
    • Fungal Infections and Studies

Papers in

John Hayman

86 papers receiving 3.8k citations

Peers

John Hayman
Comparison fields: 5 of 125
  • Small Animals 1.0k
  • Epidemiology 2.1k
  • Infectious Diseases 876
  • Oncology 884
  • Microbiology 25
Replace Martha L. Warnock with:
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Citations per field
00.5×10×15×20×24.0×
Martha L. Warnock · 1×
Citations per year

Countries citing papers authored by John Hayman

Since Specialization
Citations

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

Fields of papers citing papers by John Hayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Hayman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Hayman Line = papers co-authored together John Hayman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999498
2
Localization of parathyroid hormone-related protein in breast cancer metastases: increased incidence in bone compared with other sites.
1991292
3
Immunohistochemical localization of parathyroid hormone-related protein in human breast cancer.
1990203
4 1989187
5 2005186
6 2007165
7 2001130
8 1997120
9 1991108
10 2005105
11 199393
12 199693
13 199185
14 199784
15 200182
16 200079
17 198975
18
Myb expression is higher in malignant human colonic carcinoma and premalignant adenomatous polyps than in normal mucosa.
199275
19 198569
20 199664

About John Hayman

John Hayman is a scholar working on Epidemiology, Infectious Diseases, Small Animals, Molecular Biology and Oncology, having authored 93 papers that have together received 4.0k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (35 papers), Tuberculosis Research and Epidemiology (22 papers), Infectious Diseases and Mycology (17 papers), Bone health and treatments (8 papers), Cancer Diagnosis and Treatment (7 papers), Cancer and Skin Lesions (5 papers), Leptospirosis research and findings (4 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Small Animals (1.0k citations), Epidemiology (2.1k citations), Infectious Diseases (876 citations), Oncology (884 citations) and Microbiology (25 citations). John Hayman has collaborated with scholars based in Australia, United States and Belgium. Frequent co-authors include Paul D. R. Johnson, T. John Martin, Pamela L. C. Small, J. A. Danks, Justine Southby, Timothy P. Stinear, Diane M. Welty, Delphi Chatterjee, Geewananda P. Gunawardana and Richard Lee. Their work appears in journals such as Pathology, The Medical Journal of Australia, Journal of Clinical Pathology, The Journal of Pathology and Journal of Clinical Microbiology.

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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