Lin Dong

409 citations
24 papers · 272 · h-index 8

Impact in

Papers in

    • Cancer-related Molecular Pathways 2
    • Colorectal Cancer Surgical Treatments 2
    • Prostate Cancer Diagnosis and Treatment 3
    • Lung Cancer Treatments and Mutations 3
    • Ferroptosis and cancer prognosis 2

Lin Dong

19 papers receiving 268 citations

Peers

Lin Dong
Comparison fields: 5 of 55
  • Rheumatology 45
  • Genetics 31
  • Urology 13
  • Cancer Research 30
  • Oncology 46
Replace José Antonio Valer with:
José Antonio Valer Spain
Pieter Derkx Netherlands
Ghada A. Otaify Egypt
P.M. Chou United States
María Isabel Pérez‐Núñez Spain
Dandan Cao China
Randala Hamdan United States
Barbara Tipton United States
Junming Feng China
Lin Dong relative to José Antonio Valer Spain José Antonio Valer's profile →
Citations per field
00.5×1.5×2.2×
José Antonio Valer · 1×
Citations per year

Countries citing papers authored by Lin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Lin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200994
2 202063
3 202021
4 202120
5 202016
6 20229
7 20259
8 20167
9 20226
10 20246
11 20115
12 20244
13 20153
14 20232
15 20212
16 20222
17 20201
18 20241
19 20191
20 20250

About Lin Dong

Lin Dong is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Surgery, having authored 24 papers that have together received 272 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (3 papers), Lung Cancer Treatments and Mutations (3 papers), RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related Molecular Pathways (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and Colorectal Cancer Surgical Treatments (2 papers). The work is most often cited by research in Rheumatology (45 citations), Genetics (31 citations), Urology (13 citations), Cancer Research (30 citations) and Oncology (46 citations). Lin Dong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Robin M. Hobbs, Louis C. Doré, Mitchell J. Weiss, Takahiro Maeda, Julie Teruya‐Feldstein, Junbo Liu, Pier Paolo Pandolfi, Liang Cao, Hai Liao and Arthur Zelent. Their work appears in journals such as Medicine, British Journal of Radiology, Developmental Cell, Journal of Clinical Oncology and PeerJ.

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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