Michael May

32 papers receiving 489 citations

Peers

Michael May
Comparison fields: 5 of 78
  • Applied Microbiology and Biotechnology 54
  • Critical Care and Intensive Care Medicine 32
  • Gastroenterology 31
  • Oncology 151
  • Infectious Diseases 98
Replace Karen Cheng with:
Karen Cheng United Kingdom
Mariona Calvo Spain
Julie Véziant France
Iyad Issa Lebanon
Anthony J. Perissinotti United States
Marie Simon France
Lihua Xing China
Kimimasa Ikeda Japan
Kibum Jeon South Korea
Yalan Liu China
Michael May relative to Karen Cheng United Kingdom Karen Cheng's profile →
Citations per field
00.5×4.9×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021103
2 200760
3 201852
4 201945
5 202136
6 199329
7 202328
8 202317
9 202115
10 202015
11 202213
12 202313
13 199510
14
Neck masses in children: diagnosis and treatment.
197810
15 20208
16 20217
17 20197
18 20235
19 20184
20 20103

About Michael May

Michael May is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Molecular Biology, having authored 38 papers that have together received 502 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (11 papers), Cancer Genomics and Diagnostics (9 papers), Renal cell carcinoma treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Neuroblastoma Research and Treatments (4 papers), Lung Cancer Research Studies (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (54 citations), Critical Care and Intensive Care Medicine (32 citations), Gastroenterology (31 citations), Oncology (151 citations) and Infectious Diseases (98 citations). Michael May has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Julian A. Abrams, Ravi Vijayvargia, Joseph D. Fondell, Anne‐Catrin Uhlemann, Christine J. Kubin, Jason Zucker, Donald Dietz, Magdalena E. Sobieszczyk, Connor J. Kinslow and Simon K. Cheng. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, International Journal of Molecular Sciences, The Oncologist and Seminars in Oncology.

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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