Saijun Fan

3.9k citations
41 papers · 3.4k indexed · 3 hit papers · h-index 21

Impact in

Papers in

Saijun Fan

40 papers receiving 3.3k citations

Hit Papers

Characterization of the p53 tumor suppressor pathway in cell lines of the National Cancer Institute anticancer drug screen and correlations with the growth-inhibitory potency of 123 anticancer agents. 1997 · 760 citations
7601994202620042015250500750

Peers

Saijun Fan
Comparison fields: 5 of 105
  • Oncology 1.8k
  • Cancer Research 624
  • Biotechnology 323
  • Molecular Biology 2.3k
  • Toxicology 104
Replace Peter Traxler with:
Peter Traxler Switzerland
Liguang Lou China
Annamaria Biroccio Italy
Jingxuan Pan China
Zhen Fan United States
Pavel G. Komarov United States
Stephen Hiscox United Kingdom
Yiyu Zou United States
Danila Coradini Italy
Patricia Sancho Spain
Saijun Fan relative to Peter Traxler Switzerland Peter Traxler's profile →
Citations per field
00.5×1.5×2.0×
Peter Traxler · 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
#Work
1 20250
2 20222
3 202010
4 20146
5 201335
6 20139
7
Effect of Human UHRF1 on Growth of Breast Cancer BT-549 Cells
20081
8 200611
9 200386
10 2002114
11 200259
12 200141
13 2000106
14 200065
15 199925
16 19994
17 1997131
18 199744
19 1997454
20 199645

About Saijun Fan

Saijun Fan is a scholar working on Toxicology, Cancer Research, Biotechnology, Oncology and Molecular Biology, having authored 41 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (12 papers), DNA Repair Mechanisms (8 papers), Cancer Research and Treatments (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), Bioactive Compounds and Antitumor Agents (3 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Oncology (1.8k citations), Cancer Research (624 citations), Biotechnology (323 citations), Molecular Biology (2.3k citations) and Toxicology (104 citations). Saijun Fan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include P M O'Connor, Albert J. Fornace, Kurt W. Kohn, I Bae, Eliot M. Rosen, Stephen Friend, Dominic A. Scudiero, A Monks, Joany Jackman and John N. Weinstein. Their work appears in journals such as Journal of Nutrition, International Journal of Molecular Sciences, Blood, Anti-Cancer Drugs 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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