Kai Ding

2.6k citations
115 papers · 1.7k · h-index 25

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms
    • PARP inhibition in cancer therapy

Papers in

Kai Ding

106 papers receiving 1.6k citations

Peers

Kai Ding
Comparison fields: 5 of 131
  • Internal Medicine 76
  • Oncology 396
  • Cancer Research 153
  • Reproductive Medicine 84
  • Ophthalmology 66
Replace Jens Lutz with:
Jens Lutz Germany
Benjamin Dieplinger Austria
Haiping Mao China
Ahmad Shabsigh United States
Yuji Hiramatsu Japan
Francesco Ferraù Italy
Naomi Gronich Israel
Rajvir Singh Qatar
Garry McDowell United Kingdom
Haiyan Fu China
Kai Ding relative to Jens Lutz Germany Jens Lutz's profile →
Citations per field
00.5×9.3×
Jens Lutz · 1×
Citations per year

Countries citing papers authored by Kai Ding

Since Specialization
Citations

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

Fields of papers citing papers by Kai Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017141
2 2020100
3 201873
4 201848
5 201445
6 201944
7 202244
8 201743
9 201942
10 201039
11 201932
12 201631
13 201431
14 201730
15 202129
16 201628
17 201428
18 201628
19 201927
20 201626

About Kai Ding

Kai Ding is a scholar working on Oncology, Molecular Biology, Physiology, Reproductive Medicine and Cancer Research, having authored 115 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (13 papers), Drug Transport and Resistance Mechanisms (11 papers), Smoking Behavior and Cessation (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers), HIV/AIDS drug development and treatment (6 papers), Endometrial and Cervical Cancer Treatments (6 papers), Pharmacological Effects and Toxicity Studies (6 papers) and PARP inhibition in cancer therapy (5 papers). The work is most often cited by research in Internal Medicine (76 citations), Oncology (396 citations), Cancer Research (153 citations), Reproductive Medicine (84 citations) and Ophthalmology (66 citations). Kai Ding has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kathleen N. Moore, Hua Fei, Khondoker Alam, Wei Yue, Wenge Ding, Alexandra Crowe, Justin Dvorak, Lang Li, Shailendra Kumar Dhar Dwivedi and Resham Bhattacharya. Their work appears in journals such as Gynecologic Oncology, Oncotarget, Journal of Pharmaceutical Sciences, Cornea and International Journal of Molecular Sciences.

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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