Michael Green

3.8k citations
130 papers · 2.4k · h-index 28

Impact in

  • Virology top 10%
    • Bacillus and Francisella bacterial research
    • Prion Diseases and Protein Misfolding
    • Chemical Synthesis and Analysis

Papers in

    • Retinoids in leukemia and cellular processes 4
    • Receptor Mechanisms and Signaling 4
    • Hemodynamic Monitoring and Therapy 6

Michael Green

117 papers receiving 2.3k citations

Peers

Michael Green
Comparison fields: 5 of 161
  • Virology 72
  • Molecular Biology 870
  • Physiology 291
  • Biological Psychiatry 27
  • Oncology 287
Replace Kewal K. Jain with:
Kewal K. Jain Switzerland
Dali Zheng China
Shih‐Ming Huang Taiwan
Kwong Wai Choy Hong Kong
Marcello Allegretti Italy
Eun Jeong Park Japan
Prisco Mirandola Italy
De‐Ming Yang Taiwan
Xin‐Ying Ji China
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Citations per field
00.5×
Kewal K. Jain · 1×
Citations per year

Countries citing papers authored by Michael Green

Since Specialization
Citations

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

Fields of papers citing papers by Michael Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001140
2 2009115
3 199090
4 198689
5 201687
6 199887
7 200580
8 198673
9 201672
10 200471
11 199259
12 198458
13 198455
14 201754
15 201651
16 202249
17 201047
18 198644
19 200843
20 199237

About Michael Green

Michael Green is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Physiology, having authored 130 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (8 papers), Metal complexes synthesis and properties (7 papers), Hemodynamic Monitoring and Therapy (6 papers), Anesthesia and Sedative Agents (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Retinoids in leukemia and cellular processes (4 papers), Alzheimer's disease research and treatments (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Virology (72 citations), Molecular Biology (870 citations), Physiology (291 citations), Biological Psychiatry (27 citations) and Oncology (287 citations). Michael Green has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Judd Berman, David W. Chapman, Rayhan Tariq, Richard W. Titball, Mark Fulop, Pietro Mastroeni, Richard Mazzarella, James Bennett, Hugh S. Tullós and Franco M. Muggia. Their work appears in journals such as DNA and Cell Biology, Journal of Clinical Oncology, The FASEB Journal, Seminars in Cardiothoracic and Vascular Anesthesia and Archives of Biochemistry and Biophysics.

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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