Jin Lu

31 papers receiving 217 citations

Peers

Jin Lu
Comparison fields: 5 of 55
  • Geriatrics and Gerontology 15
  • Cancer Research 49
  • Toxicology 7
  • Oncology 54
  • Rheumatology 21
Replace Dong-Jun Lin with:
Dong-Jun Lin China
Jitendra Kumar Kanaujiya India
Mario Schindeldecker Germany
Teresa Balsamo Italy
Waraporn Chan-on Thailand
Lin‐wen Wu China
Sunitha Shyam Sunder United States
Dae Hwa Choi South Korea
Susan L. Strum United States
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Citations per field
00.5×2.9×
Dong-Jun Lin · 1×
Citations per year

Countries citing papers authored by Jin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201033
2 201725
3 201924
4 201517
5 202316
6 202212
7 202511
8 202310
9 201610
10 20198
11 20158
12
[Surgical management of early breast cancer].
20076
13
[A study of the combination of vinorelbine and epirubicin as neoadjuvant chemotherapy regimen in the treatment of locally advanced breast cancer].
20065
14
Induction of necrosis in human myeloma cells by kigamicin.
20084
15
Neoadjuvant chemotherapy with vinorelbine-containing regimens in elderly patients with locally advanced breast cancer.
20093
16 20213
17
The association of menstruation of breast cancer patients with chemotherapy regimen and aging period
20073
18 20133
19
[Effects of long-term estrogen replacement treatment on the expression of bcl-2 and H-ras in rat endometrium].
20053
20 20182

About Jin Lu

Jin Lu is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Physiology, having authored 38 papers that have together received 222 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Estrogen and related hormone effects (4 papers), Cancer Treatment and Pharmacology (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Breast Lesions and Carcinomas (3 papers), Mesenchymal stem cell research (2 papers), Sarcoidosis and Beryllium Toxicity Research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (15 citations), Cancer Research (49 citations), Toxicology (7 citations), Oncology (54 citations) and Rheumatology (21 citations). Jin Lu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yu Rao, Xia Yao, Jiong Wu, Cheng Du, Yujie Ren, Zhen Shen, Chuan Dong, Ta‐Chen Su, Kaili Zhang and Jianchang Gao. Their work appears in journals such as Journal of Clinical Oncology, Stem Cell Research & Therapy, Cell Metabolism, Asian Journal of Organic Chemistry and Atherosclerosis.

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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