Michael Green

119 papers receiving 2.3k citations

Peers

Michael Green
Comparison fields: 5 of 164
  • Virology 76
  • Anesthesiology and Pain Medicine 80
  • Molecular Biology 897
  • Physiology 320
  • Oncology 318
Replace Hannah A. Blair with:
Hannah A. Blair New Zealand
Kewal K. Jain Switzerland
Sohita Dhillon New Zealand
Hye‐Jeong Park South Korea
Qin Zhang China
Eun Jeong Park Japan
Marianne Hokland Denmark
Kejian Zhang United States
De‐Ming Yang Taiwan
Michael Green relative to Hannah A. Blair New Zealand Hannah A. Blair's profile →
Citations per field
00.5×1.5×2.4×
Hannah A. Blair · 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
#Work
1 20241
2 20241
3 20240
4 20213
5 20202
6 20191
7 20185
8 201814
9 20176
10 20171
11 20165
12 20153
13 201518
14 20138
15 201210
16 20122
17
Mapping Legacy Storage Ponds
20111
18 201022
19
20037
20 20008

About Michael Green

Michael Green is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 131 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (14 papers), Metal complexes synthesis and properties (7 papers), Anesthesia and Sedative Agents (7 papers), Hemodynamic Monitoring and Therapy (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Receptor Mechanisms and Signaling (4 papers), Alzheimer's disease research and treatments (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Virology (76 citations), Anesthesiology and Pain Medicine (80 citations), Molecular Biology (897 citations), Physiology (320 citations) and Oncology (318 citations). Michael Green has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Judd Berman, David W. Chapman, Richard W. Titball, Rayhan Tariq, 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, Bioorganic & Medicinal Chemistry Letters 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026