Jun Rao

2.4k citations
42 papers · 1.3k · h-index 18

Impact in

Papers in

Jun Rao

38 papers receiving 1.2k citations

Peers

Jun Rao
Comparison fields: 5 of 88
  • Cancer Research 214
  • Pathology and Forensic Medicine 210
  • Oncology 317
  • Molecular Medicine 50
  • Molecular Biology 628
Replace Ivana Sarotto with:
Ivana Sarotto Italy
Georgios Kallifatidis United States
Haineng Xu China
Koji Ueno Japan
Timothy G. Whitsett United States
Xuesong Ouyang United States
Natalie Ozburn United States
Chang Gyo Park South Korea
Jay Sharma United States
Bojie Dai United States
Jun Rao relative to Ivana Sarotto Italy Ivana Sarotto's profile →
Citations per field
00.5×2.8×
Ivana Sarotto · 1×
Citations per year

Countries citing papers authored by Jun Rao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005284
2
Beta-catenin expression is altered in human colonic aberrant crypt foci.
2001125
3 2014110
4 202393
5
Loss of fragile histidine triad expression in colorectal carcinomas and premalignant lesions.
200087
6 201558
7
Inducible nitric oxide synthase (iNOS) is expressed similarly in multiple aberrant crypt foci and colorectal tumors from the same patients.
200151
8 201549
9 201849
10 201439
11 201537
12 201135
13 202031
14 200929
15 202027
16 202425
17
Distinct patterns of ALDH1A1 expression predict metastasis and poor outcome of colorectal carcinoma.
201420
18 202017
19
Comparisons of ambulatory blood pressure monitoring and repeated office measurements in primary care.
199712
20 202012

About Jun Rao

Jun Rao is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cancer Research and Genetics, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), RNA modifications and cancer (4 papers), Genetic factors in colorectal cancer (3 papers), T-cell and Retrovirus Studies (2 papers), RNA Research and Splicing (2 papers), Estrogen and related hormone effects (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Cancer Research (214 citations), Pathology and Forensic Medicine (210 citations), Oncology (317 citations), Molecular Medicine (50 citations) and Molecular Biology (628 citations). Jun Rao has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Theresa P. Pretlow, T G Pretlow, Xingpei Hao, Joseph Willis, Xiaomei Jiang, Xiu‐Wu Bian, Zihui Xu, Youzhi Zhang, Bin Chen and Yang Wang. Their work appears in journals such as HemaSphere, The Journal of Steroid Biochemistry and Molecular Biology, Blood, Haematologica and Cancer Letters.

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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