Steven S. Shen

233 papers receiving 11.7k citations

Steven S. Shen's Hit Papers

A new class of synthetic retinoid antibiotics effective against bacterial persisters 2018 · 319 citations
3190+2+5Years since publication100200300

Peers

Steven S. Shen
Comparison fields: 5 of 161
  • Virology 479
  • Pulmonary and Respiratory Medicine 3.3k
  • Cancer Research 1.4k
  • Immunology 1.9k
  • Molecular Biology 5.5k
Replace Michel Vidaud with:
Michel Vidaud France
David L. Huso United States
Yi Li China
Johannes Gerdes Germany
Lawrence F. Brass United States
Thomas Bugge United States
Peter M. Lansdorp Canada
Søren K. Moestrup Denmark
Norman J. Maitland United Kingdom
Miriam R. Anver United States
Steven S. Shen relative to Michel Vidaud France Michel Vidaud's profile →
Citations per field
00.5×1.5×2.4×
Michel Vidaud · 1×
Citations per year

Countries citing papers authored by Steven S. Shen

Since Specialization
Citations

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

Fields of papers citing papers by Steven S. Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven S. Shen. 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 Steven S. Shen. The network helps show where Steven S. Shen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 241 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997473
2 2006399
3 2008332
4
A new class of synthetic retinoid antibiotics effective against bacterial persisters
Hit paper breakdown →
2018319
5 2012294
6 2012280
7 2012257
8 2013252
9 2013235
10 2011226
11 2008221
12 2011220
13 2011219
14 2008195
15 2014185
16 2000184
17 2018182
18 2014180
19 2015170
20 2006169

About Steven S. Shen

Steven S. Shen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Rheumatology, having authored 241 papers that have together received 11.9k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (47 papers), Renal and related cancers (40 papers), Bladder and Urothelial Cancer Treatments (30 papers), Urinary and Genital Oncology Studies (25 papers), Urologic and reproductive health conditions (22 papers), Prostate Cancer Diagnosis and Treatment (18 papers), T-cell and B-cell Immunology (14 papers) and Cancer Genomics and Diagnostics (14 papers). The work is most often cited by research in Virology (479 citations), Pulmonary and Respiratory Medicine (3.3k citations), Cancer Research (1.4k citations), Immunology (1.9k citations) and Molecular Biology (5.5k citations). Steven S. Shen has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Luan D. Truong, Jae Y. Ro, Danny Reinberg, Juan J. Lafaille, Yi Ding, Alberto G. Ayala, Min Lu, Jinsook Son, Bhuvaneswari Krishnan and Jia-huai Wang. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, The American Journal of Surgical Pathology, Human Pathology, Modern Pathology and Journal of Clinical Oncology.

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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