Hai Deng

4.9k citations
113 papers · 3.9k · h-index 36

Impact in

Papers in

    • Biochemical and Molecular Research 24
    • Genomics and Phylogenetic Studies 12
    • Microbial Natural Products and Biosynthesis 54

Hai Deng

112 papers receiving 3.8k citations

Peers

Hai Deng
Comparison fields: 5 of 122
  • Pharmaceutical Science 701
  • Pharmacology 1.1k
  • Biotechnology 453
  • Biochemistry 253
  • Organic Chemistry 779
Replace Tadashi Eguchi with:
Tadashi Eguchi Japan
John Mann United Kingdom
Albert A. Bowers United States
Katherine S. Ryan Canada
Till Opatz Germany
Masahiko Hayashi Japan
René Csük Germany
Takashi Matsumoto Japan
Cormac D. Murphy Ireland
Edward A. Anderson United Kingdom
Hai Deng relative to Tadashi Eguchi Japan Tadashi Eguchi's profile →
Citations per field
00.5×6.1×
Tadashi Eguchi · 1×
Citations per year

Countries citing papers authored by Hai Deng

Since Specialization
Citations

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

Fields of papers citing papers by Hai Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014279
2 2004271
3 2020254
4 2020158
5 1994134
6 2011126
7 2011109
8 201493
9 200489
10 201588
11 200586
12 200361
13
Comparative studies on the neuro- and reproductive toxicity of acrylamide and its epoxide metabolite glycidamide in the rat.
199261
14 202261
15 199359
16 200659
17 200455
18 201254
19 200851
20 201349

About Hai Deng

Hai Deng is a scholar working on Molecular Biology, Pharmacology, Materials Chemistry, Organic Chemistry and Biotechnology, having authored 113 papers that have together received 3.9k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (54 papers), Biochemical and Molecular Research (24 papers), Enzyme Structure and Function (17 papers), Carbohydrate Chemistry and Synthesis (12 papers), Genomics and Phylogenetic Studies (12 papers), Fluorine in Organic Chemistry (11 papers), Marine Sponges and Natural Products (10 papers) and Amino Acid Enzymes and Metabolism (8 papers). The work is most often cited by research in Pharmaceutical Science (701 citations), Pharmacology (1.1k citations), Biotechnology (453 citations), Biochemistry (253 citations) and Organic Chemistry (779 citations). Hai Deng has collaborated with scholars based in United Kingdom, China and Ghana. Frequent co-authors include David O’Hagan, Christoph Schaffrath, Kwaku Kyeremeh, Yi Yu, Marcel Jaspars, James H. Naismith, Rainer Ebel, Jonathan B. Spencer, Zhiwei Qin and Ryan P. McGlinchey. Their work appears in journals such as Organic & Biomolecular Chemistry, Journal of Natural Products, Molecules, Angewandte Chemie International Edition and Marine Drugs.

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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