Lin Zhang

56.9k citations
811 papers · 34.4k indexed · 9 hit papers · h-index 84
  • Cancer Research top 0.05%
    • Cancer-related molecular mechanisms research 50
    • MicroRNA in disease regulation 34
    • RNA modifications and cancer 67
    • Cell death mechanisms and regulation 57
    • Epigenetics and DNA Methylation 39
    • Ubiquitin and proteasome pathways 32
    • Cancer-related gene regulation 30
  • Oncology top 0.1%
    • Cancer-related Molecular Pathways 75
  • Immunology top 0.5%

Lin Zhang

768 papers receiving 33.8k citations

Hit Papers

The Tumor Suppressor ...737199220262003201450010001.5k2.0k2.5k

Peers

Lin Zhang
Comparison fields: 5 of 199
  • Cancer Research 6.5k
  • Molecular Biology 21.4k
  • Oncology 7.8k
  • Immunology 3.4k
  • Pathology and Forensic Medicine 2.7k
Replace Antonio Giordano with:
Antonio Giordano United States
Wěi Li China
Robert J. Coffey United States
Timothy C. Wang United States
Hiroyuki Aburatani Japan
Gerry Melino Italy
Manuel Serrano Spain
Takashi Takahashi Japan
Godefridus J. Peters Netherlands
Seppo Ylä‐Herttuala Finland
Lin Zhang relative to Antonio Giordano United States Antonio Giordano's profile →
Citations per field
00.5×1.5×
Antonio Giordano · 1×
Citations per year

Countries citing papers authored by Lin Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202413
3 202328
4 20234
5 202226
6 20225
7 201945
8 201841
9 201433
10 201348
11 201394
12 201327
13 2011101
14 201131
15 201120
16 2011129
17 200985
18 2008274
19 200826
20 200772

About Lin Zhang

Lin Zhang is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 811 papers that have together received 34.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (75 papers), RNA modifications and cancer (67 papers), Cell death mechanisms and regulation (57 papers), Cancer-related molecular mechanisms research (50 papers), Epigenetics and DNA Methylation (39 papers), MicroRNA in disease regulation (34 papers), Ubiquitin and proteasome pathways (32 papers) and Cancer-related gene regulation (30 papers). The work is most often cited by research in Cancer Research (6.5k citations), Molecular Biology (21.4k citations) and Oncology (7.8k citations). Lin Zhang has collaborated with scholars based in China, United States and France. Frequent co-authors include Jian Yu, Kenneth W. Kinzler, Bert Vogelstein, Victor E. Velculescu, Paul M. Hwang, Wei Zhou, Norman Arnheim, Kornélia Polyák, Ben Ho Park and Scott E. Kern. Their work appears in journals such as Cancer Research, Oncogene, PLoS ONE, Scientific Reports 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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