Jun Qin Mo

3.1k citations
55 papers · 2.5k · h-index 28

Impact in

Papers in

    • Mitochondrial Function and Pathology 28
    • RNA modifications and cancer 11
    • RNA and protein synthesis mechanisms 7
    • ATP Synthase and ATPases Research 6
    • Autoimmune and Inflammatory Disorders Research 4

Jun Qin Mo

54 papers receiving 2.5k citations

Peers

Jun Qin Mo
Comparison fields: 5 of 97
  • Clinical Biochemistry 273
  • Hematology 429
  • Neurology 149
  • Neurology 263
  • Molecular Biology 1.3k
Replace Yutaka Imamura with:
Yutaka Imamura Japan
David Watkins Canada
Christina Glytsou United States
Daniel Leclerc Canada
Paulo Costa Portugal
Csaba Konràd United States
Ryuichi Fukuyama Japan
Kei Murayama Japan
Jolanta Sykut‐Cegielska Poland
Patrick Harriott United Kingdom
Jun Qin Mo relative to Yutaka Imamura Japan Yutaka Imamura's profile →
Citations per field
00.5×2×2.8×
Yutaka Imamura · 1×
Citations per year

Countries citing papers authored by Jun Qin Mo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Qin Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003554
2 2012254
3 2006111
4 2011105
5 2004104
6 201597
7 200577
8 201375
9 200658
10 200857
11 199956
12 201055
13 201352
14 201049
15 201047
16 200444
17 200543
18 201442
19 199739
20 200438

About Jun Qin Mo

Jun Qin Mo is a scholar working on Molecular Biology, Hematology, Clinical Biochemistry, Cancer Research and Infectious Diseases, having authored 55 papers that have together received 2.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (28 papers), RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (7 papers), Metabolism and Genetic Disorders (6 papers), ATP Synthase and ATPases Research (6 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Parvovirus B19 Infection Studies (4 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Clinical Biochemistry (273 citations), Hematology (429 citations), Neurology (149 citations), Neurology (263 citations) and Molecular Biology (1.3k citations). Jun Qin Mo has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Min‐Xin Guan, Haytham H. Dimashkieh, Julie Kay Andersen, Kevin E. Bove, Veena Viswanath, Pingping Jiang, Yaping Qian, Xiangtian Zhou, Deepinder Kaur and Russell E. Jacobs. Their work appears in journals such as Journal of Biological Chemistry, Investigative Ophthalmology & Visual Science, Mitochondrion, Human Molecular Genetics and Pediatric and Developmental Pathology.

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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