Michael Qiu

10.8k citations
38 papers · 457 · h-index 11

Impact in

Papers in

Michael Qiu

34 papers receiving 442 citations

Peers

Michael Qiu
Comparison fields: 5 of 66
  • Internal Medicine 70
  • Infectious Diseases 136
  • Neurology 67
  • Cardiology and Cardiovascular Medicine 72
  • Dermatology 27
Replace Zichen Ji with:
Zichen Ji Spain
Neelkumar Patel United States
Yih-Ting Chen Taiwan
Haozhe Sun United States
Òscar Miró Spain
Arnaldo Lichtenstein Brazil
Akhil Kant Singh India
Scott E. Janus United States
Bülent Altınsoy Türkiye
Fan Leng China
Michael Qiu relative to Zichen Ji Spain Zichen Ji's profile →
Citations per field
00.5×2×2.9×
Zichen Ji · 1×
Citations per year

Countries citing papers authored by Michael Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Michael Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202171
2 202063
3 202037
4 202035
5 201732
6 202125
7 201823
8 202022
9 202115
10 202213
11 202213
12 202110
13 202310
14 20229
15 20208
16 20207
17 20227
18 20217
19 20216
20 20206

About Michael Qiu

Michael Qiu is a scholar working on Internal Medicine, Pulmonary and Respiratory Medicine, Infectious Diseases, Neurology and Oncology, having authored 38 papers that have together received 457 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (7 papers), COVID-19 Clinical Research Studies (5 papers), Respiratory Support and Mechanisms (3 papers), COVID-19 and healthcare impacts (3 papers), Long-Term Effects of COVID-19 (3 papers), Emergency and Acute Care Studies (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Trauma and Emergency Care Studies (2 papers). The work is most often cited by research in Internal Medicine (70 citations), Infectious Diseases (136 citations), Neurology (67 citations), Cardiology and Cardiovascular Medicine (72 citations) and Dermatology (27 citations). Michael Qiu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Laurence M. Epstein, Moussa Saleh, Stavros Mountantonakis, Martin Lesser, John Chelico, Alex C. Spyropoulos, Amir Gandomi, Joanna Fishbein, James Gabriels and Liron Sinvani. Their work appears in journals such as Journal of Thrombosis and Thrombolysis, The Oncologist, Blood, CHEST Journal and Journal of the American College of Cardiology.

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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