Juling Zhang

570 citations
29 papers · 360 · h-index 12

Impact in

Papers in

Juling Zhang

27 papers receiving 357 citations

Peers

Juling Zhang
Comparison fields: 5 of 81
  • Endocrinology 56
  • Molecular Medicine 53
  • Applied Microbiology and Biotechnology 12
  • Hepatology 15
  • Infectious Diseases 30
Replace Khaled Almansour with:
Khaled Almansour Saudi Arabia
Maryam Ranjbar Iran
Hyun-Sook Lee South Korea
Rie Nagano Japan
Mohammad Faheem Pakistan
April Chen United States
Matteo Santucci Italy
Kunj Bihari Gupta India
Daewon Kim South Korea
Juling Zhang relative to Khaled Almansour Saudi Arabia Khaled Almansour's profile →
Citations per field
00.5×10×15×18×
Khaled Almansour · 1×
Citations per year

Countries citing papers authored by Juling Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Juling Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202050
2 201740
3 201234
4 202029
5 201328
6 201826
7 201322
8 201319
9 201818
10 201612
11 202211
12 201411
13 201510
14 20185
15 20135
16 20185
17 20175
18 20214
19 20234
20 20254

About Juling Zhang

Juling Zhang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Infectious Diseases and Artificial Intelligence, having authored 29 papers that have together received 360 indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (5 papers), Formal Methods in Verification (5 papers), Drug Transport and Resistance Mechanisms (3 papers), Software Testing and Debugging Techniques (3 papers), Surfactants and Colloidal Systems (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Urinary Tract Infections Management (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Endocrinology (56 citations), Molecular Medicine (53 citations), Applied Microbiology and Biotechnology (12 citations), Hepatology (15 citations) and Infectious Diseases (30 citations). Juling Zhang has collaborated with scholars based in China, United States and Sierra Leone. Frequent co-authors include Chunmei Bao, Fen Qu, Huaimin Gu, Guowu Yang, Haotian Li, Meng Lv, Tao Yang, Shizhang Wei, Ruilin Wang and Jianzhong Zhang. Their work appears in journals such as Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, IEEE Access, BMC Infectious Diseases, Symmetry and Theory of Computing Systems.

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.

Explore authors with similar magnitude of impact