Michael M. Shi

4.3k citations
51 papers · 3.5k · 1 hit paper · h-index 25

Impact in

Papers in

Michael M. Shi

48 papers receiving 3.4k citations

Michael M. Shi's Hit Papers

A comprehensive survey of genomic alterations in gastric cancer reveals systematic patterns of molecular exclusivity and co-occurrence among distinct therapeutic targets 2012 · 574 citations
5740+4+9Years since publication100200300400500

Peers

Michael M. Shi
Comparison fields: 5 of 88
  • Pulmonary and Respiratory Medicine 600
  • Cancer Research 175
  • Molecular Biology 703
  • Genetics 101
  • Pharmacology 76
Replace Dona B. Alberti with:
Dona B. Alberti United States
Zhengtao Liu China
Jian Xu China
Doris Mayer Germany
Shiyong Li United States
Xiaohua Xin United States
Yun‐Yong Park South Korea
Yan Zhou United States
Bin Liu China
Yan Ji United States
Michael M. Shi relative to Dona B. Alberti United States Dona B. Alberti's profile →
Citations per field
00.5×2×3.3×
Dona B. Alberti · 1×
Citations per year

Countries citing papers authored by Michael M. Shi

Since Specialization
Citations

This map shows the geographic impact of Michael M. 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 M. 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 M. Shi more than expected).

Fields of papers citing papers by Michael M. Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A comprehensive survey of genomic alterations in gastric cancer reveals systematic patterns of molecular exclusivity and co-occurrence among distinct therapeutic targets
Hit paper breakdown →
2012574
2 1994288
3 2013272
4 2001232
5 2014227
6 1994146
7 2000131
8 2001129
9 2011122
10 2011111
11 2013111
12 201798
13 201496
14 201895
15 200386
16 199482
17 199974
18 201370
19 200758
20 201451

About Michael M. Shi

Michael M. Shi is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Pharmacology, Oncology and Genetics, having authored 51 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Chemokine receptors and signaling (3 papers), Renal cell carcinoma treatment (3 papers), Acute Myeloid Leukemia Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (600 citations), Cancer Research (175 citations), Molecular Biology (703 citations), Genetics (101 citations) and Pharmacology (76 citations). Michael M. 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, Renfeng Guo, Peter A. Ward, Tommy Hlaing, Felix A. de la Iglesia, M. R. Bleavins and Andrea Kay. Their work appears in journals such as Clinical Cancer Research, European Journal of Cancer, American Journal of Physiology-Lung Cellular and Molecular Physiology, Blood and Journal of Biological Chemistry.

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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