Zixuan Ding

750 citations
49 papers · 433 · h-index 12

Impact in

Papers in

Zixuan Ding

47 papers receiving 429 citations

Peers

Zixuan Ding
Comparison fields: 5 of 92
  • Molecular Medicine 94
  • Hematology 71
  • Endocrinology 32
  • Applied Microbiology and Biotechnology 8
  • Food Science 54
Replace Shashi Bhushan Kumar with:
Shashi Bhushan Kumar United States
Toshiki G. Nakashige United States
Zachery R. Lonergan United States
Gemilson Soares Pontes Brazil
Janet M. Dewdney United Kingdom
Tânia Silva Portugal
Carlos García Argentina
Andrew A. McColm United Kingdom
Jyoti Sharma India
Zixuan Ding relative to Shashi Bhushan Kumar United States Shashi Bhushan Kumar's profile →
Citations per field
00.5×
Shashi Bhushan Kumar · 1×
Citations per year

Countries citing papers authored by Zixuan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Zixuan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202158
2 202046
3 202131
4 202424
5 201720
6 202120
7 201815
8 202115
9 202414
10 202114
11 202114
12 202312
13 201911
14 202110
15 201810
16 202310
17 20218
18 20198
19 20257
20 20227

About Zixuan Ding

Zixuan Ding is a scholar working on Hematology, Molecular Biology, Genetics, Molecular Medicine and Epidemiology, having authored 49 papers that have together received 433 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Antibiotic Resistance in Bacteria (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Plant Virus Research Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Vibrio bacteria research studies (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Molecular Medicine (94 citations), Hematology (71 citations), Endocrinology (32 citations), Applied Microbiology and Biotechnology (8 citations) and Food Science (54 citations). Zixuan Ding has collaborated with scholars based in China, Pakistan and Australia. Frequent co-authors include Yinhuan Ding, Jinbo Liu, Zhibin Wang, Jinbo Liu, Fan Jiang, Zhangrui Zeng, Xue Wan, Miran Tang, Yao Liu and Hongjie Shen. Their work appears in journals such as Microbial Pathogenesis, Infection and Drug Resistance, Clinical Genetics, Chemical Engineering Journal and Microchemical Journal.

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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