Mingjun Jiang

992 citations
54 papers · 793 · h-index 18

Impact in

  • Physiology top 10%
    • Pain Mechanisms and Treatments
    • Telomeres, Telomerase, and Senescence
  • Epidemiology top 10%
    • Cervical Cancer and HPV Research
    • Nonmelanoma Skin Cancer Studies
    • Breastfeeding Practices and Influences

Papers in

    • Cervical Cancer and HPV Research 8
    • Nonmelanoma Skin Cancer Studies 4
    • Pain Mechanisms and Treatments 5
    • Telomeres, Telomerase, and Senescence 2

Mingjun Jiang

49 papers receiving 778 citations

Peers

Mingjun Jiang
Comparison fields: 5 of 94
  • Physiology 177
  • Epidemiology 176
  • Hepatology 24
  • Oncology 61
  • Cancer Research 35
Replace Andreas Laich with:
Andreas Laich Austria
Fahad Zadjali Oman
Harish Changotra India
Rosângela Vieira de Andrade Brazil
Steven Timmermans Belgium
Jing Zheng China
Kelly C. Cushing United States
Amit R. Majithia United States
Carolina Kymie Vasques Nonaka Brazil
Mingjun Jiang relative to Andreas Laich Austria Andreas Laich's profile →
Citations per field
00.5×5×10×12.5×
Andreas Laich · 1×
Citations per year

Countries citing papers authored by Mingjun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201077
2 201746
3 202042
4 201840
5 202239
6 202239
7 201935
8 202030
9 202130
10 202130
11 202129
12 201228
13 201525
14 201925
15 201022
16 201120
17 202319
18 201918
19 200815
20 200915

About Mingjun Jiang

Mingjun Jiang is a scholar working on Epidemiology, Physiology, Molecular Biology, Oncology and Cancer Research, having authored 54 papers that have together received 793 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (8 papers), Epigenetics and DNA Methylation (5 papers), Pain Mechanisms and Treatments (5 papers), Nonmelanoma Skin Cancer Studies (4 papers), Heat shock proteins research (3 papers), MicroRNA in disease regulation (3 papers), Embedded Systems Design Techniques (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Physiology (177 citations), Epidemiology (176 citations), Hepatology (24 citations), Oncology (61 citations) and Cancer Research (35 citations). Mingjun Jiang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Nancy B. Kiviat, Qinghua Feng, Joshua Stern, Stephen E. Hawes, Ji‐Tian Xu, Jian Zhang, Defu Ma, Xueying Qin, Liying Bai and Jianbo Wen. Their work appears in journals such as Clinical Nutrition, PLoS ONE, Brain Behavior and Immunity, Cell Biochemistry and Biophysics and International Journal of Medical 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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