Michael L. Cheng

40 papers receiving 1.0k citations

Peers

Michael L. Cheng
Comparison fields: 5 of 91
  • Virology 117
  • Cancer Research 338
  • Oncology 508
  • Pulmonary and Respiratory Medicine 367
  • Immunology 218
Replace Christopher G. Przybycin with:
Christopher G. Przybycin United States
Xiaofan Lu China
Zhenya Tang United States
Eric Q. Konnick United States
Lisa M. Cordes United States
Poonam Vohra United States
Jeanette Dupont Jensen Denmark
Carsten T. Viehl Switzerland
E. Jaeger Germany
John E. Mullinax United States
Michael L. Cheng relative to Christopher G. Przybycin United States Christopher G. Przybycin's profile →
Citations per field
00.5×
Christopher G. Przybycin · 1×
Citations per year

Countries citing papers authored by Michael L. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020124
2 2021108
3 2005103
4 2020102
5 202196
6 201466
7 201548
8 201930
9 201830
10 201330
11 202028
12 201226
13 200525
14 202021
15 202120
16 201920
17
Productivity prediction from well logs in variable grain size reservoirs, Cretaceous Qishn Clastics, Republic of Yemen
199816
18 202115
19 201414
20 201214

About Michael L. Cheng

Michael L. Cheng is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Immunology, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (17 papers), Lung Cancer Treatments and Mutations (12 papers), Cancer Immunotherapy and Biomarkers (8 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Immunotherapy and Immune Responses (4 papers), Lung Cancer Research Studies (4 papers), Genetic factors in colorectal cancer (3 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Virology (117 citations), Cancer Research (338 citations), Oncology (508 citations), Pulmonary and Respiratory Medicine (367 citations) and Immunology (218 citations). Michael L. Cheng has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Lawrence Fong, Mark M. Awad, Geoffrey R. Oxnard, Biagio Ricciuti, Mizuki Nishino, Eirini Pectasides, Atish D. Choudhury, Heather A. Parsons, Glenn J. Hanna and Lynette M. Sholl. Their work appears in journals such as Journal of Clinical Oncology, JCO Precision Oncology, Clinical Cancer Research, Journal for ImmunoTherapy of Cancer and Urologic Oncology Seminars and Original Investigations.

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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