Michael J. May
Impact in
- Cancer Research top 0.1%
- NF-κB Signaling Pathways
- Immunology top 0.2%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- interferon and immune responses
- Immunotherapy and Immune Responses
Papers in
-
- NF-κB Signaling Pathways 48
- Immunology 58
- Immune Response and Inflammation 33
- interferon and immune responses 12
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 5
- Co-authors
- Sankar GhoshElizabeth B. KoppLisa A. MadgeEijiro JimiHaihong ZhongLaura A. SoltFulvio D’AcquistoJordan S. Pober
- Journals
- Journal of Biological Chemistry (9 papers)The Journal of Immunology (4 papers)Science (2 papers)Oncogene (2 papers)Blood (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Michael J. May
84 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 4.9k
- Immunology 5.3k
- Oncology 2.1k
- Molecular Biology 5.1k
- Biological Psychiatry 179
Countries citing papers authored by Michael J. May
This map shows the geographic impact of Michael J. 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 J. 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 J. May more than expected).
Fields of papers citing papers by Michael J. May
This network shows the impact of papers produced by Michael J. 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 J. May. The network helps show where Michael J. May may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael J. May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 58 | |
| 2 | 2015 | 1 | |
| 3 | 2015 | 5 | |
| 4 | 2011 | 56 | |
| 5 | 2011 | 53 | |
| 6 | 2009 | 33 | |
| 7 | 2009 | 12 | |
| 8 | 2009 | 69 | |
| 9 | 2008 | 159 | |
| 10 | 2007 | 25 | |
| 11 | 2007 | 419 | |
| 12 | 2006 | 7 | |
| 13 | 2006 | 17 | |
| 14 | 2005 | 55 | |
| 15 | 2005 | 60 | |
| 16 | 2004 | 48 | |
| 17 | 2003 | 53 | |
| 18 | The Phosphorylation Status of Nuclear NF-ΚB Determines Its Association with CBP/p300 or HDAC-1 Hit paper breakdown → | 2002 | 803 |
| 19 | 1996 | 20 | |
| 20 | 1996 | 56 |
About Michael J. May
Michael J. May is a scholar working on Cancer Research, Immunology, Immunology and Allergy, Sensory Systems and Oncology, having authored 84 papers that have together received 12.2k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (48 papers), Immune Response and Inflammation (33 papers), Cytokine Signaling Pathways and Interactions (13 papers), interferon and immune responses (12 papers), Immune Cell Function and Interaction (11 papers), Cell Adhesion Molecules Research (8 papers), Cell death mechanisms and regulation (7 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Cancer Research (4.9k citations), Immunology (5.3k citations), Oncology (2.1k citations), Molecular Biology (5.1k citations) and Biological Psychiatry (179 citations). Michael J. May has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Sankar Ghosh, Elizabeth B. Kopp, Lisa A. Madge, Eijiro Jimi, Haihong Zhong, Laura A. Solt, Fulvio D’Acquisto, Jordan S. Pober, Jordan S. Orange and Ann Ager. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Science, Oncogene and Blood.
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.