Mingwei Jin

762 citations
23 papers · 586 · h-index 11

Impact in

Papers in

    • Circular RNAs in diseases 4
    • Ubiquitin and proteasome pathways 3
    • RNA Research and Splicing 2
    • Acute Myeloid Leukemia Research 4
    • Autoimmune and Inflammatory Disorders Research 2

Mingwei Jin

22 papers receiving 580 citations

Peers

Mingwei Jin
Comparison fields: 5 of 84
  • Cancer Research 214
  • Cardiology and Cardiovascular Medicine 195
  • Molecular Biology 332
  • Endocrinology, Diabetes and Metabolism 74
  • Speech and Hearing 15
Replace Hyo Jeong Kim with:
Hyo Jeong Kim South Korea
Javier Modrego Spain
José Pablo Miramontes‐González Spain
Peter Fitzgerald France
Alex Zagariya United States
Muammer Kara Türkiye
Ling Tian United States
Nicolai Worm Germany
Mingwei Jin relative to Hyo Jeong Kim South Korea Hyo Jeong Kim's profile →
Citations per field
00.5×4.3×
Hyo Jeong Kim · 1×
Citations per year

Countries citing papers authored by Mingwei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Mingwei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990120
2
LncRNA MALAT1 exerts oncogenic functions in lung adenocarcinoma by targeting miR-204.
2016104
3
Intracardiac generation of angiotensin and its physiologic role.
198891
4 201645
5 201839
6 201739
7 201232
8 202217
9 201715
10 201814
11 201912
12 19899
13 20208
14 20167
15 20177
16 20187
17 20196
18 20084
19 20174
20 20192

About Mingwei Jin

Mingwei Jin is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Oncology, having authored 23 papers that have together received 586 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Acute Myeloid Leukemia Research (4 papers), Circular RNAs in diseases (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Ubiquitin and proteasome pathways (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (214 citations), Cardiology and Cardiovascular Medicine (195 citations), Molecular Biology (332 citations), Endocrinology, Diabetes and Metabolism (74 citations) and Speech and Hearing (15 citations). Mingwei Jin has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Klaus Lindpaintner, Markus J. Wilhelm, Jipeng Li, Detlev Ganten, N. Niedermaier, Shanfeng Li, Wanjun Yu, Jian‐Hua Wang, Qi An and Huaying Wang. Their work appears in journals such as Gene, Medicine, Circulation Research, Pulmonology and Tumor Biology.

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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