Michael May

797 citations
39 papers · 525 · h-index 12

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 11
    • Cancer Immunotherapy and Biomarkers 4
    • Cancer Genomics and Diagnostics 7
    • Breast Cancer Treatment Studies 2

Michael May

36 papers receiving 513 citations

Peers

Michael May
Comparison fields: 5 of 75
  • Applied Microbiology and Biotechnology 41
  • Oncology 120
  • Critical Care and Intensive Care Medicine 20
  • Infectious Diseases 77
  • Gastroenterology 21
Replace Karen Cheng with:
Karen Cheng United Kingdom
U. Mittelkötter Germany
Kibum Jeon South Korea
Rawish Fatima United States
M. Macpherson United Kingdom
Cristian Tieranu Romania
Shin Kibe Japan
J.D. Edgeworth United Kingdom
Kimimasa Ikeda Japan
Elizabeth E. Morgan United States
Michael May relative to Karen Cheng United Kingdom Karen Cheng's profile →
Citations per field
00.5×4.5×
Karen Cheng · 1×
Citations per year

Countries citing papers authored by Michael May

Since Specialization
Citations

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

Fields of papers citing papers by Michael May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael May, 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 Michael May Line = papers co-authored together Michael May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021103
2 200760
3 201853
4 201947
5 202137
6 202332
7 199329
8 202320
9 202016
10 202315
11 202115
12 202213
13 199510
14
Neck masses in children: diagnosis and treatment.
197810
15 20208
16 20218
17 20197
18 20235
19 20234
20 20184

About Michael May

Michael May is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Neurology, having authored 39 papers that have together received 525 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (11 papers), Cancer Genomics and Diagnostics (7 papers), Renal cell carcinoma treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Neuroblastoma Research and Treatments (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Breast Cancer Treatment Studies (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (41 citations), Oncology (120 citations), Critical Care and Intensive Care Medicine (20 citations), Infectious Diseases (77 citations) and Gastroenterology (21 citations). Michael May has collaborated with scholars based in United States, South Africa and Japan. Frequent co-authors include Julian A. Abrams, Joseph D. Fondell, Ravi Vijayvargia, Anne‐Catrin Uhlemann, Magdalena E. Sobieszczyk, Donald Dietz, Jason Zucker, Christine J. Kubin, Connor J. Kinslow and Alexander G. Raufi. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, International Journal of Molecular Sciences, Seminars in Oncology and The Oncologist.

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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