Jun Cheng

4.4k citations
155 papers · 3.4k · h-index 32

Impact in

Papers in

    • Oral and Maxillofacial Pathology 29
    • Plant Molecular Biology Research 17
    • Plant Physiology and Cultivation Studies 12
    • Postharvest Quality and Shelf Life Management 11

Jun Cheng

152 papers receiving 3.3k citations

Peers

Jun Cheng
Comparison fields: 5 of 118
  • Oral Surgery 503
  • Periodontics 278
  • Horticulture 38
  • Otorhinolaryngology 133
  • Oncology 637
Replace María Aparecida Nagai with:
María Aparecida Nagai Brazil
Yujun Hao China
Henry M. Wood United Kingdom
John Spinelli United States
Walter C. Bell United States
Márta Széll Hungary
Raghunath Chatterjee India
Edna Teruko Kimura Brazil
David J. Etherington United Kingdom
Ana Bravo Spain
Jun Cheng relative to María Aparecida Nagai Brazil María Aparecida Nagai's profile →
Citations per field
00.5×5×10×15×21.4×
María Aparecida Nagai · 1×
Citations per year

Countries citing papers authored by Jun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002172
2 2014133
3 2005105
4 199293
5 201186
6 201582
7 201380
8 201177
9 200776
10 201969
11 201159
12 201853
13 201549
14 199549
15 199546
16 201046
17 200442
18 200840
19 201339
20 199039

About Jun Cheng

Jun Cheng is a scholar working on Oral Surgery, Plant Science, Oncology, Cell Biology and Molecular Biology, having authored 155 papers that have together received 3.4k indexed citations. Recurring topics across this work include Oral and Maxillofacial Pathology (29 papers), Salivary Gland Tumors Diagnosis and Treatment (27 papers), Plant Reproductive Biology (17 papers), Plant Molecular Biology Research (17 papers), Plant Gene Expression Analysis (15 papers), Proteoglycans and glycosaminoglycans research (15 papers), Plant Physiology and Cultivation Studies (12 papers) and Postharvest Quality and Shelf Life Management (11 papers). The work is most often cited by research in Oral Surgery (503 citations), Periodontics (278 citations), Horticulture (38 citations), Otorhinolaryngology (133 citations) and Oncology (637 citations). Jun Cheng has collaborated with scholars based in Japan, China and Jordan. Frequent co-authors include Takashi Saku, Satoshi Maruyama, Manabu Yamazaki, Hiroko Ida‐Yonemochi, Yuepeng Han, Jiancan Feng, Bin Tan, Takanori Kobayashi, Xianbo Zheng and Hui Zhou. Their work appears in journals such as Journal of Oral Pathology and Medicine, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Postharvest Biology and Technology, Fish & Shellfish Immunology and Human 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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