Sen Sheng

687 citations
35 papers · 463 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • Colorectal Cancer Screening and Detection
    • Colorectal Cancer Treatments and Studies
    • Colorectal Cancer Surgical Treatments

Papers in

Sen Sheng

32 papers receiving 455 citations

Peers

Sen Sheng
Comparison fields: 5 of 93
  • Cancer Research 82
  • Oncology 131
  • Pharmacology 32
  • Pathology and Forensic Medicine 54
  • Neurology 41
Replace Marco Cannistrà with:
Marco Cannistrà Italy
Anne C. Regierer Germany
Yongqiang Zheng China
Rajani Kaimal United States
Yisheng Tao China
Karen Lin United States
Kaoru Kawasaki Japan
Arie Bitterman Israel
Frank Meiß Germany
Simon Butler‐Manuel United Kingdom
Sen Sheng relative to Marco Cannistrà Italy Marco Cannistrà's profile →
Citations per field
00.5×2.9×
Marco Cannistrà · 1×
Citations per year

Countries citing papers authored by Sen Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Sen Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018204
2 201833
3 201924
4 201819
5 202217
6 202013
7 201812
8 202312
9 202011
10 202311
11 201910
12 201810
13 201910
14 20199
15 20208
16 20207
17 20216
18 20205
19 20205
20 20205

About Sen Sheng

Sen Sheng is a scholar working on Neurology, Epidemiology, Molecular Biology, Pharmacology and Economics and Econometrics, having authored 35 papers that have together received 463 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (7 papers), Long-Term Effects of COVID-19 (5 papers), Pharmaceutical industry and healthcare (5 papers), Stroke Rehabilitation and Recovery (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Cancer Research (82 citations), Oncology (131 citations), Pharmacology (32 citations), Pathology and Forensic Medicine (54 citations) and Neurology (41 citations). Sen Sheng has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Xiongwei Huo, Yanfeng Gao, Steven Y. Qian, Jinping Wang, Yue Zhou, Krishna Nalleballe, Sanjeeva Onteddu, Nidhi Kapoor, Rohan Sharma and Shuang Zhou. Their work appears in journals such as Brain Behavior & Immunity - Health, Stroke, Scientific Reports, Journal of Telemedicine and Telecare and Nitric Oxide.

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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