Michael T. Lewis

13.7k citations
110 papers · 6.5k indexed · 2 hit papers · h-index 43
Topics
Cancer Cells and Metastasis (50 papers)Hedgehog Signaling Pathway Studies (21 papers)Epigenetics and DNA Methylation (20 papers)

In The Last Decade

Michael T. Lewis

105 papers receiving 6.4k citations

Hit Papers

Intrinsic Resistance of Tumorigenic Breast Cancer Cells t...2008202620142020200820174008001.2k

Peers

Michael T. Lewis
Comparison fields: 5 of 131
  • Molecular Biology 3.6k
  • Oncology 3.6k
  • Cancer Research 1.6k
  • Genetics 762
  • Pulmonary and Respiratory Medicine 757
Replace Poornima Bhat‐Nakshatri with:
Poornima Bhat‐Nakshatri United States
Alana L. Welm United States
Elgene Lim Australia
Roger R. Gomis Spain
Brian Bierie United States
Venu Raman United States
Asha S. Multani United States
Tamer T. Önder Türkiye
Pepper Schedin United States
Xiaojiang Cui United States
Michael T. Lewis relative to Poornima Bhat‐Nakshatri United States Poornima Bhat‐Nakshatri's profile →
Citations per field
00.5×
Poornima Bhat‐Nakshatri · 1×
Citations per year

Countries citing papers authored by Michael T. Lewis

Since Specialization
Citations

This map shows the geographic impact of Michael T. Lewis'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 T. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Lewis more than expected).

Fields of papers citing papers by Michael T. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael T. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Lewis. A scholar is included among the top collaborators of Michael T. Lewis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael T. Lewis. Michael T. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 4
4 4
5 35
6 9
7 33
8 8
9 0
10 25
11 24
12 31
13 209
14 42
15 45
16 109
17 4
18
Intrinsic Resistance of Tumorigenic Breast Cancer Cells to Chemotherapybreakdown →
1418
19 196
20 84

About Michael T. Lewis

Michael T. Lewis is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 110 papers that have together received 6.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (50 papers), Hedgehog Signaling Pathway Studies (21 papers) and Epigenetics and DNA Methylation (20 papers). The work is most often cited by research in Oncology (3.6k citations), Cancer Research (1.6k citations) and Molecular Biology (3.6k citations). Michael T. Lewis has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jenny C. Chang, Gary C. Chamness, Jeffrey M. Rosen, C. Kent Osborne, S. G. Hilsenbeck, Susan G. Hilsenbeck, Anne C. Pavlick, Hiu Yung Wong, Xiaolei Zhang and Jian Huang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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