Michael Mi

31 papers receiving 257 citations

Peers

Michael Mi
Comparison fields: 5 of 80
  • Critical Care and Intensive Care Medicine 29
  • Applied Microbiology and Biotechnology 7
  • Emergency Medicine 28
  • Family Practice 5
  • Internal Medicine 7
Replace Daniela Forno with:
Daniela Forno Italy
Francesco Travaglino Italy
Ludwig Ney Germany
Suresh Pillai United Kingdom
Kartikeya Rajdev United States
Nejat Narlı Türkiye
Jennifer Cook Australia
Ingrid Baar Belgium
Charles de Roquetaillade France
Silvius Negoiţă Romania
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Citations per year

Countries citing papers authored by Michael Mi

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201843
2 201924
3 201621
4 201818
5 201116
6 201313
7
The self-differentiation of the paddle-shaped limb regenerate, transplanted with normal and reversed proximo-distal orientation after removal of the digital plate (Ambystoma mexicanum).
196113
8 202311
9 202310
10 202310
11
Normal postnatal development of the mouse eye.
19888
12 20057
13 20167
14 20136
15 20235
16
Normal development of the prenatal mouse eye.
19875
17 20185
18
Primary pneumococcal abscess in an asplenic host.
19745
19 20234
20 20234

About Michael Mi

Michael Mi is a scholar working on Physiology, Molecular Biology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 262 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Muscle metabolism and nutrition (3 papers), Diet and metabolism studies (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Immunotherapy and Immune Responses (2 papers) and Silk-based biomaterials and applications (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (29 citations), Applied Microbiology and Biotechnology (7 citations), Emergency Medicine (28 citations), Family Practice (5 citations) and Internal Medicine (7 citations). Michael Mi has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Michael A. Matthay, Alan H. Morris, Michael Klompas, Laura Evans, Jacob Faber, Rory B. Weiner, Yukai He, Eric M. Isselbacher, Michael H. Picard and R. Sacha Bhatia. Their work appears in journals such as New England Journal of Medicine, Diabetes, The American Journal of Cardiology, Cell Metabolism and Molecular & Cellular Proteomics.

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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