Sen Peng

2.3k citations
26 papers · 427 · h-index 12

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Single-cell and spatial transcriptomics 2
    • Advanced biosensing and bioanalysis techniques 2
    • Genomics and Chromatin Dynamics 2
    • Glioma Diagnosis and Treatment 10

Sen Peng

23 papers receiving 421 citations

Peers

Sen Peng
Comparison fields: 5 of 74
  • Genetics 107
  • Cancer Research 111
  • Geriatrics and Gerontology 23
  • Oncology 91
  • Physiology 15
Replace Anna Paczulla with:
Anna Paczulla Germany
Simona Artuso Italy
Ashwin Unnikrishnan Australia
Peijuan Lu United States
Emese Szabó Switzerland
Chungang Xie China
Irene Bertolini United States
Amber R. Smith United States
Ho‐Chang Jeong South Korea
Amber Wilson United States
Sen Peng relative to Anna Paczulla Germany Anna Paczulla's profile →
Citations per field
00.5×2.9×
Anna Paczulla · 1×
Citations per year

Countries citing papers authored by Sen Peng

Since Specialization
Citations

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

Fields of papers citing papers by Sen Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202060
2 201558
3 201951
4 201839
5 201831
6 201931
7 202028
8 201626
9 202021
10 202017
11 202014
12 201712
13 201911
14 202110
15 20188
16
Sparseness-controlled non-negative Tensor Factorization and Its Application in Machinery Fault Diagnosis
20092
17 20181
18 20181
19 20111
20 20171

About Sen Peng

Sen Peng is a scholar working on Molecular Biology, Genetics, Cancer Research, Immunology and Oncology, having authored 26 papers that have together received 427 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (2 papers), MicroRNA in disease regulation (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related molecular mechanisms research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Genetics (107 citations), Cancer Research (111 citations), Geriatrics and Gerontology (23 citations), Oncology (91 citations) and Physiology (15 citations). Sen Peng has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Nhan L. Tran, Jeffrey A. Winkles, Graeme F. Woodworth, Michael E. Berens, Joseph C. Loftus, Alison Roos, Bolin Zhang, Jennifer M. Eschbacher, Rebeca Galisteo and Bryan Harder. Their work appears in journals such as Cancer Research, Neuro-Oncology, Neuro-Oncology Advances, Molecular Cancer Research and INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences.

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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