Lingming Kong

584 citations
21 papers · 427 · h-index 11

Impact in

Papers in

    • RNA Research and Splicing 4
    • Circular RNAs in diseases 4
    • RNA modifications and cancer 4
    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 5

Lingming Kong

20 papers receiving 417 citations

Peers

Lingming Kong
Comparison fields: 5 of 72
  • Cancer Research 272
  • Biological Psychiatry 36
  • Molecular Biology 333
  • Behavioral Neuroscience 16
  • Developmental Neuroscience 11
Replace Mingjun He with:
Mingjun He China
Yanan Yin China
Archana Shankar United States
Michael P. Geaghan Australia
Qianlei Zhao China
Hikari Otabi Japan
Mandy Parkinson-Bates Australia
Chuan Jiao China
Beata Narożna Poland
Lingming Kong relative to Mingjun He China Mingjun He's profile →
Citations per field
00.5×1.5×
Mingjun He · 1×
Citations per year

Countries citing papers authored by Lingming Kong

Since Specialization
Citations

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

Fields of papers citing papers by Lingming Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016116
2 201666
3 201642
4 201732
5 201629
6 201929
7 201621
8 202418
9 201718
10 202316
11 201711
12 20147
13 20245
14 20234
15 20234
16 20233
17 20183
18 20251
19 20241
20
Experimental Study of Characteristics of Counterfactual Thinking in Depressive Individuals
20091

About Lingming Kong

Lingming Kong is a scholar working on Molecular Biology, Cancer Research, Clinical Psychology, General Health Professions and Cognitive Neuroscience, having authored 21 papers that have together received 427 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (5 papers), RNA Research and Splicing (4 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers), Mycobacterium research and diagnosis (2 papers), Health and Wellbeing Research (2 papers) and Resilience and Mental Health (2 papers). The work is most often cited by research in Cancer Research (272 citations), Biological Psychiatry (36 citations), Molecular Biology (333 citations), Behavioral Neuroscience (16 citations) and Developmental Neuroscience (11 citations). Lingming Kong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shengdong Chen, Mingjun He, Li-Yi Zhang, Wei Niu, Aifang Zhong, Wanshuai Li, Jim Lu, Xuelian Cui, Xinyang Sun and Zaohuo Cheng. Their work appears in journals such as Biomarkers in Medicine, Clinical Epigenetics, Military Medical Research, Carbohydrate Polymers and Psychiatry Research.

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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