Jun Ding
Impact in
- Aging top 10%
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Surgery 6
- Cholangiocarcinoma and Gallbladder Cancer Studies 5
- Co-authors
- Shakib Omari (1 shared paper)Marc Michel (1 shared paper)Chris Ottolenghi (1 shared paper)Antonino Forabosco (1 shared paper)Tomokazu Amano (1 shared paper)Emanuele Pelosi (1 shared paper)David Schlessinger (1 shared paper)Fei Ma (2 shared papers)
- Journals
- Fertility and Sterility (2 papers)Pesticide Biochemistry and Physiology (2 papers)Cell Discovery (2 papers)Drug Discoveries & Therapeutics (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Ding
31 papers receiving 406 citations
Peers
Comparison fields: 5 of 66
- Aging 19
- Cancer Research 81
- Reproductive Medicine 39
- Insect Science 35
- Public Health, Environmental and Occupational Health 70
Countries citing papers authored by Jun Ding
This map shows the geographic impact of Jun 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 Jun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ding more than expected).
Fields of papers citing papers by Jun Ding
This network shows the impact of papers produced by Jun 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 Jun Ding. The network helps show where Jun Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 97 | |
| 2 | 2017 | 58 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 28 | |
| 5 | 2009 | 23 | |
| 6 | 2021 | 20 | |
| 7 | 2016 | 16 | |
| 8 | 2022 | 12 | |
| 9 | 2016 | 12 | |
| 10 | 2020 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2017 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2016 | 8 | |
| 18 | Ovarian granulocytic sarcoma as the primary manifestation of acute myelogenous leukemia. | 2015 | 7 |
| 19 | 2023 | 6 | |
| 20 | 2013 | 6 |
About Jun Ding
Jun Ding is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Insect Science, having authored 34 papers that have together received 416 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Insect-Plant Interactions and Control (5 papers), Peptidase Inhibition and Analysis (3 papers), Insect symbiosis and bacterial influences (3 papers), Reproductive Biology and Fertility (3 papers), Selenium in Biological Systems (2 papers), Cancer Mechanisms and Therapy (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Aging (19 citations), Cancer Research (81 citations), Reproductive Medicine (39 citations), Insect Science (35 citations) and Public Health, Environmental and Occupational Health (70 citations). Jun Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shakib Omari, Marc Michel, Chris Ottolenghi, Antonino Forabosco, Tomokazu Amano, Emanuele Pelosi, David Schlessinger, Fei Ma, Di Zhou and Longyang Jin. Their work appears in journals such as Fertility and Sterility, Pesticide Biochemistry and Physiology, Cell Discovery, Drug Discoveries & Therapeutics and Nature Communications.
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.