Saijun Fan

15.6k citations
171 papers · 9.0k · h-index 51

Impact in

Papers in

Saijun Fan

166 papers receiving 8.9k citations

Peers

Saijun Fan
Comparison fields: 5 of 141
  • Cancer Research 955
  • Molecular Biology 4.4k
  • Oncology 1.5k
  • Genetics 1.4k
  • Biological Psychiatry 101
Replace Joel M. Reid with:
Joel M. Reid United States
Doriano Fabbro Switzerland
Jian Jian Li United States
Hua Zou United States
Li Li China
Robert N. Cole United States
Maria Castedo France
S. Perwez Hussain United States
Hao Zhang China
Leonard H. Augenlicht United States
Saijun Fan relative to Joel M. Reid United States Joel M. Reid's profile →
Citations per field
00.5×2×3.4×
Joel M. Reid · 1×
Citations per year

Countries citing papers authored by Saijun Fan

Since Specialization
Citations

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

Fields of papers citing papers by Saijun Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012422
2 1999419
3 2014408
4 2013339
5 2017251
6 2001225
7 2003221
8 2003212
9 2004192
10 2020185
11 2011147
12 2000145
13 2018142
14
p300 Modulates the BRCA1 inhibition of estrogen receptor activity.
2002134
15 1998133
16
Alcohol stimulates estrogen receptor signaling in human breast cancer cell lines.
2000132
17 2007131
18 2020128
19 2009123
20 2000113

About Saijun Fan

Saijun Fan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Genetics and Cancer Research, having authored 171 papers that have together received 9.0k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (29 papers), BRCA gene mutations in cancer (19 papers), DNA Repair Mechanisms (17 papers), Genomics, phytochemicals, and oxidative stress (14 papers), Cancer-related Molecular Pathways (13 papers), Gut microbiota and health (11 papers), Ovarian cancer diagnosis and treatment (10 papers) and Cancer-related gene regulation (9 papers). The work is most often cited by research in Cancer Research (955 citations), Molecular Biology (4.4k citations), Oncology (1.5k citations), Genetics (1.4k citations) and Biological Psychiatry (101 citations). Saijun Fan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Eliot M. Rosen, Qinghui Meng, Itzhak D. Goldberg, Richard G. Pestell, Jiali Dong, Xiaodong Zhang, Xiu Shen, Ming Cui, Huiwen Xiao and E M Rosen. Their work appears in journals such as Oncogene, Acta Pharmacologica Sinica, Biochemical and Biophysical Research Communications, Free Radical Biology and Medicine and International Journal of Molecular 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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