Qi Long

4.4k citations
44 papers · 787 · h-index 17

Impact in

    • Metabolism and Genetic Disorders
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering

Papers in

Qi Long

44 papers receiving 779 citations

Peers

Qi Long
Comparison fields: 5 of 105
  • Clinical Biochemistry 61
  • Molecular Biology 447
  • Cardiology and Cardiovascular Medicine 127
  • Immunology 116
  • Cancer Research 77
Replace Xiaoxiang Tian with:
Xiaoxiang Tian China
Rafia S. Al‐Lamki United Kingdom
Naoya Suematsu Japan
Daisuke Katoh Japan
Christopher R. Neal United Kingdom
Alessandra Consonni Italy
Xinping Luo China
Federico Corti United States
Shawn M. Jobe United States
Qi Long relative to Xiaoxiang Tian China Xiaoxiang Tian's profile →
Citations per field
00.5×3.0×
Xiaoxiang Tian · 1×
Citations per year

Countries citing papers authored by Qi Long

Since Specialization
Citations

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

Fields of papers citing papers by Qi Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201575
2 201572
3 201363
4 201843
5 201537
6 202237
7 201935
8 201935
9 201330
10 201628
11 201626
12 201325
13 201724
14 201322
15 201522
16 202121
17 201620
18 201216
19 201615
20 201415

About Qi Long

Qi Long is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Immunology and Cancer Research, having authored 44 papers that have together received 787 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Viral Infections and Immunology Research (8 papers), ATP Synthase and ATPases Research (5 papers), CRISPR and Genetic Engineering (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Metabolism and Genetic Disorders (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Clinical Biochemistry (61 citations), Molecular Biology (447 citations), Cardiology and Cardiovascular Medicine (127 citations), Immunology (116 citations) and Cancer Research (77 citations). Qi Long has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xingguo Liu, Liang Yang, Miao Yu, Jing Yuan, Yuhua Liao, Min Wang, Duanqing Pei, Xiang Cheng, Dajiang Qin and Keshi Chen. Their work appears in journals such as International Immunopharmacology, Cellular Physiology and Biochemistry, Cell Death and Disease, Biochemical and Biophysical Research Communications and Cell Metabolism.

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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