Qi Mi

4.3k citations
74 papers · 3.3k · 1 hit paper · h-index 27

Impact in

Papers in

Qi Mi

73 papers receiving 3.2k citations

Qi Mi's Hit Papers

Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis 2019 · 1k citations
1k0+2+4Years since publication2505007501k

Peers

Qi Mi
Comparison fields: 5 of 146
  • Epidemiology 1.2k
  • Rehabilitation 191
  • Modeling and Simulation 148
  • Health Informatics 61
  • Critical Care and Intensive Care Medicine 112
Replace Qiang Shu with:
Qiang Shu China
Nuala J. Meyer United States
Paul A. Reyfman United States
Daniel Candinas Switzerland
Leo M. A. Heunks Netherlands
Shusheng Li China
John D. Roback United States
John D. Bartels United States
Josef Smolle Austria
Gerard F. Curley Ireland
Qi Mi relative to Qiang Shu China Qiang Shu's profile →
Citations per field
00.5×2×3.5×
Qiang Shu · 1×
Citations per year

Countries citing papers authored by Qi Mi

Since Specialization
Citations

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

Fields of papers citing papers by Qi Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis
Hit paper breakdown →
20191026
2 2009252
3 2007140
4 2014118
5 2011103
6 2020103
7 2008100
8 201192
9 201383
10 201572
11 201669
12 201063
13 201261
14 201057
15 201651
16 201449
17 201247
18 201447
19 201741
20 201640

About Qi Mi

Qi Mi is a scholar working on Occupational Therapy, Immunology, Epidemiology, Critical Care and Intensive Care Medicine and Modeling and Simulation, having authored 74 papers that have together received 3.3k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (18 papers), Inflammation biomarkers and pathways (13 papers), Lower Extremity Biomechanics and Pathologies (10 papers), Occupational Health and Performance (8 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers), Cellular Mechanics and Interactions (4 papers), Multi-Agent Systems and Negotiation (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Epidemiology (1.2k citations), Rehabilitation (191 citations), Modeling and Simulation (148 citations), Health Informatics (61 citations) and Critical Care and Intensive Care Medicine (112 citations). Qi Mi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yoram Vodovotz B, Gary C. An, Joyeeta Dutta‐Moscato, Rubén Zamora, Timothy R. Billiar, Rami A. Namas, Cordelia Ziraldo, Gilles Clermont, Derek A. Barclay and Khalid Almahmoud. Their work appears in journals such as Journal of Critical Care, Frontiers in Physiology, PLoS ONE, Biophysical Journal and Critical Care Medicine.

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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