Hai‐Jing Zhong

4.4k citations
90 papers · 3.7k indexed · 1 hit paper · h-index 34
  • Oncology top 2%
    • Metal complexes synthesis and properties 7
    • Cytokine Signaling Pathways and Interactions 7
    • Peptidase Inhibition and Analysis 7
    • Click Chemistry and Applications 6
    • Advanced biosensing and bioanalysis techniques 14
    • DNA and Nucleic Acid Chemistry 12
    • Protein Degradation and Inhibitors 8
    • Ubiquitin and proteasome pathways 6

Hai‐Jing Zhong

85 papers receiving 3.7k citations

Hit Papers

Polyvinyl Alcohol (PVA)-Based Hydrogels: Recent Progress ...86202420262025255075

Peers

Hai‐Jing Zhong
Comparison fields: 5 of 116
  • Oncology 1.2k
  • Organic Chemistry 1.0k
  • Molecular Biology 1.9k
  • Spectroscopy 323
  • Inorganic Chemistry 233
Replace Rabbab Oun with:
Rabbab Oun United Kingdom
Leli Zeng China
Chaojie Wang China
Joachim Rudolph United States
Wanhe Wang Macao
Adeleh Divsalar Iran
Daniela Montesarchio Italy
Samuel M. Meier Austria
Alain Wagner France
Julie A. Woods United Kingdom
Hai‐Jing Zhong relative to Rabbab Oun United Kingdom Rabbab Oun's profile →
Citations per field
00.5×1.5×2.2×
Rabbab Oun · 1×
Citations per year

Countries citing papers authored by Hai‐Jing Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Jing Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20247
3 20238
4 20234
5 202233
6 202011
7 201918
8 20188
9 201855
10 2017101
11 201737
12 201615
13 201672
14 2015123
15 2015156
16 201539
17 201424
18 201426
19 201212
20 20102

About Hai‐Jing Zhong

Hai‐Jing Zhong is a scholar working on Toxicology, Oncology and Orthodontics, having authored 90 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), DNA and Nucleic Acid Chemistry (12 papers), Protein Degradation and Inhibitors (8 papers), Metal complexes synthesis and properties (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), Peptidase Inhibition and Analysis (7 papers), Ubiquitin and proteasome pathways (6 papers) and Click Chemistry and Applications (6 papers). The work is most often cited by research in Oncology (1.2k citations), Organic Chemistry (1.0k citations) and Molecular Biology (1.9k citations). Hai‐Jing Zhong has collaborated with scholars based in Macao, Hong Kong and China. Frequent co-authors include Dik‐Lung Ma, Chung‐Hang Leung, Daniel Shiu‐Hin Chan, Ka‐Ho Leung, Hong‐Zhang He, Lihua Lu, Sheng Lin, Chun‐Yuen Wong, Victor Pui‐Yan and Huimin Wang. Their work appears in journals such as Chemical Society Reviews, Angewandte Chemie International Edition and PLoS ONE.

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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