Long Cheng

3.0k citations
60 papers · 1.2k indexed · h-index 20

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Inflammasome and immune disorders
    • RNA Research and Splicing

Papers in

Long Cheng

60 papers receiving 1.2k citations

Peers

Long Cheng
Comparison fields: 5 of 118
  • Cancer Research 213
  • Molecular Biology 728
  • Health, Toxicology and Mutagenesis 107
  • Pathology and Forensic Medicine 110
  • Immunology 125
Replace Nobuko Mori with:
Nobuko Mori Japan
Christoph Schell Germany
Yao Zhou China
Judith Jans Netherlands
Marielle Nebout France
James Denvir United States
Janice Barnes United States
Shintaro Imamura Japan
Zhongyi Sun China
Long Cheng relative to Nobuko Mori Japan Nobuko Mori's profile →
Citations per field
00.5×3.2×
Nobuko Mori · 1×
Citations per year

Countries citing papers authored by Long Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Long Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20255
3 20246
4 20233
5 20233
6 20232
7 20223
8 20229
9 20221
10 202117
11 202071
12 201822
13 201719
14 201710
15 201578
16 201516
17 201445
18 201117
19 201165
20
Effects of L-cysteine, L-cysteine derivatives and ascorbic acid on lead excretion in rats.
19785

About Long Cheng

Long Cheng is a scholar working on Parasitology, Cancer Research, Molecular Biology, Oncology and Toxicology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Parasitic Infections and Diagnostics (4 papers), RNA Research and Splicing (4 papers), Ubiquitin and proteasome pathways (3 papers) and Air Quality and Health Impacts (3 papers). The work is most often cited by research in Cancer Research (213 citations), Molecular Biology (728 citations), Health, Toxicology and Mutagenesis (107 citations), Pathology and Forensic Medicine (110 citations) and Immunology (125 citations). Long Cheng has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Qinong Ye, Zhuoyu Li, Xiaoting Jin, Li Song, Meilan Chen, Jing Lin, Xiaobo Wu, Hong-Yu Sun, Zhu‐Lin Luo and Jiandong Ren. Their work appears in journals such as Journal of Clinical Investigation, Parasites & Vectors, PLoS ONE, Journal of Proteome Research and IUBMB Life.

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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