Michael Shi

8.9k citations
63 papers · 2.7k indexed · h-index 25

Impact in

    • Sulfur Compounds in Biology
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics

Papers in

    • Fibroblast Growth Factor Research 10
    • Kruppel-like factors research 4
    • Redox biology and oxidative stress 3
    • Lung Cancer Research Studies 5

Michael Shi

60 papers receiving 2.6k citations

Peers

Michael Shi
Comparison fields: 5 of 132
  • Biochemistry 246
  • Cancer Research 389
  • Molecular Biology 1.5k
  • Oncology 475
  • Immunology 296
Replace Peter Ellinghaus with:
Peter Ellinghaus Germany
Scott Turner United States
Paul Nicklin United Kingdom
B. Mark Woerner United States
Laurent Corcos France
Jochen G. Schneider Germany
Rita Garuti Italy
Tomomi Fujisawa Japan
Masaaki Muramatsu Japan
Lita A. Freeman United States
Michael Shi relative to Peter Ellinghaus Germany Peter Ellinghaus's profile →
Citations per field
00.5×1.5×
Peter Ellinghaus · 1×
Citations per year

Countries citing papers authored by Michael Shi

Since Specialization
Citations

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

Fields of papers citing papers by Michael Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994286
2 2013251
3 2001214
4 1994142
5 2001127
6 2000124
7 2011115
8 2013103
9 2011100
10 201888
11 201787
12 201482
13 199481
14 200380
15 200480
16 199971
17 201368
18 200754
19 201449
20 199247

About Michael Shi

Michael Shi is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 63 papers that have together received 2.7k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (10 papers), Cancer Genomics and Diagnostics (7 papers), Lung Cancer Treatments and Mutations (7 papers), Renal cell carcinoma treatment (6 papers), Lung Cancer Research Studies (5 papers), Kruppel-like factors research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Redox biology and oxidative stress (3 papers). The work is most often cited by research in Biochemistry (246 citations), Cancer Research (389 citations), Molecular Biology (1.5k citations), Oncology (475 citations) and Immunology (296 citations). Michael Shi has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Henry Jay Forman, Takeo Iwamoto, Amir Kugelman, Li Tian, Peter A. Ward, Ren-Feng Guo, Andrea Kay, Run Liu, Henry A. Choy and Evelyne Gozal. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Clinical Cancer Research, Blood and Cancer Immunology Immunotherapy.

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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