Lingjun Kong

1.7k citations
76 papers · 821 · h-index 16

Impact in

Papers in

    • Musculoskeletal pain and rehabilitation 11
    • Hematopoietic Stem Cell Transplantation 4

Lingjun Kong

67 papers receiving 800 citations

Peers

Lingjun Kong
Comparison fields: 5 of 103
  • Complementary and alternative medicine 82
  • Pharmacology 145
  • Complementary and Manual Therapy 9
  • Pathology and Forensic Medicine 64
  • Physiology 89
Replace Kehua Zhou with:
Kehua Zhou China
Mamatha Pasnoor United States
Giulia Letizia Mauro Italy
Lauren Brown Australia
Jan Bjersing Sweden
Harry L. Hébert United Kingdom
Kyle Gress United States
Henning Cuhls Germany
Edina MK da Silva Brazil
Lingjun Kong relative to Kehua Zhou China Kehua Zhou's profile →
Citations per field
00.5×1.5×2.3×
Kehua Zhou · 1×
Citations per year

Countries citing papers authored by Lingjun Kong

Since Specialization
Citations

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

Fields of papers citing papers by Lingjun Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016101
2 201577
3 201361
4 202344
5 201238
6 202227
7 202227
8 201526
9 201224
10 201423
11 202223
12 200919
13 202219
14 202119
15 202216
16 202215
17 201314
18 202114
19 201914
20 202213

About Lingjun Kong

Lingjun Kong is a scholar working on Pharmacology, Hematology, Physiology, Psychiatry and Mental health and Molecular Biology, having authored 76 papers that have together received 821 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (11 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Complementary and Alternative Medicine Studies (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Acupuncture Treatment Research Studies (3 papers), Cervical Cancer and HPV Research (3 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Complementary and alternative medicine (82 citations), Pharmacology (145 citations), Complementary and Manual Therapy (9 citations), Pathology and Forensic Medicine (64 citations) and Physiology (89 citations). Lingjun Kong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Min Fang, Ying Wu Cheng, Wei Yuan, Xin Zhou, Petra Klose, Gustav Dobos, Romy Lauche, Yaling Dou, Bo Chen and Mark D. Wiederhold. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Trials, Journal of Medical Virology, Medicine and Frontiers in Public Health.

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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