Juan Ding

1.6k citations
48 papers · 1.2k indexed · 1 hit paper · h-index 14
Topics
Machine Learning in Bioinformatics (6 papers)Cancer-related molecular mechanisms research (6 papers)Gut microbiota and health (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONECancer Research
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Juan Ding

45 papers receiving 1.2k citations

Hit Papers

TFOS DEWS II Sex, Gender, and Hormones Report2017202620202023201750100150200250

Peers

Juan Ding
Comparison fields: 5 of 117
  • Molecular Biology 616
  • Cancer Research 427
  • Public Health, Environmental and Occupational Health 301
  • Oncology 133
  • Ophthalmology 110
Replace Dorothée Nashan with:
Dorothée Nashan Germany
Pércío S. Gulko United States
Juan Ding United States
Takeshi Yamasaki Japan
Jung-Sun Kim South Korea
Bernd Bonnekoh Germany
Zezhang Tao China
Shanling Liu China
Yashwanth Subbannayya India
Juan Ding relative to Dorothée Nashan Germany Dorothée Nashan's profile →
Citations per field
00.5×6.9×
Dorothée Nashan · 1×
Citations per year

Countries citing papers authored by Juan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Juan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Ding. A scholar is included among the top collaborators of Juan Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juan Ding. Juan Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 10
5 2
6 6
7 13
8 12
9 12
10 1
11 20
12 22
13 15
14 8
15 11
16 444
17 29
18 22
19 1
20 5

About Juan Ding

Juan Ding is a scholar working on Cancer Research, Molecular Biology and Nutrition and Dietetics, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (6 papers), Cancer-related molecular mechanisms research (6 papers) and Gut microbiota and health (6 papers). The work is most often cited by research in Cancer Research (427 citations), Immunology and Allergy (93 citations) and Ophthalmology (110 citations). Juan Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yi Liu, Lingying Tong, Yanyan Cao, Robert A. Colvin, Weihe Zhang, Stephen C. Bergmeier, Jennifer V. Hines, Yanrong Qian, Huzoor Akbar and Xiaozhuo Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

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

Rankless by CCL
2026