Chengjun Deng

880 citations
24 papers · 717 · h-index 12

Impact in

Papers in

    • Phosphodiesterase function and regulation 5
    • Receptor Mechanisms and Signaling 4
    • RNA modifications and cancer 2
    • Cancer-related molecular mechanisms research 3
    • Cancer, Lipids, and Metabolism 2

Chengjun Deng

21 papers receiving 690 citations

Peers

Chengjun Deng
Comparison fields: 5 of 82
  • Endocrine and Autonomic Systems 157
  • Physiology 199
  • Nutrition and Dietetics 92
  • Immunology 119
  • Pharmacology 94
Replace Frank Drießler with:
Frank Drießler Australia
Susanne Pechhold United States
Paul Hekerman Germany
Diána Papp Hungary
Audrey L. Hildebrandt United States
Helena C.L. Barbosa Brazil
Diana Athonvarangkul United States
Rubana N. Kalyani United States
Mustafa M. Siddiq United States
Sandrine Gremlich Switzerland
Chengjun Deng relative to Frank Drießler Australia Frank Drießler's profile →
Citations per field
00.5×3.7×
Frank Drießler · 1×
Citations per year

Countries citing papers authored by Chengjun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Chengjun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999138
2 1995109
3 200568
4 199762
5 199859
6 199656
7 200649
8 199944
9 200343
10 200821
11 201719
12 201611
13 20227
14 20076
15 20206
16 20204
17 20214
18 20224
19 19983
20 20252

About Chengjun Deng

Chengjun Deng is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Physiology and Surgery, having authored 24 papers that have together received 717 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (5 papers), Phosphodiesterase function and regulation (5 papers), Receptor Mechanisms and Signaling (4 papers), Cancer-related molecular mechanisms research (3 papers), Adipose Tissue and Metabolism (3 papers), Metabolism and Genetic Disorders (2 papers), Cancer, Lipids, and Metabolism (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (157 citations), Physiology (199 citations), Nutrition and Dietetics (92 citations), Immunology (119 citations) and Pharmacology (94 citations). Chengjun Deng has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Wen‐Chao Song, Jean‐Paul Giacobino, Xiujun Sun, Arvind Sahu, John D. Lambris, Colin Funk, Patrick Muzzin, Françoise Assimacopoulos‐Jeannet, Josiane Seydoux and Michael De Vivo. Their work appears in journals such as Clinica Chimica Acta, Psychopharmacology, World Journal of Gastroenterology, Scientific Reports and Frontiers in Pediatrics.

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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