Jun Ding

1.8k citations
52 papers · 1.4k indexed · h-index 24

Impact in

Papers in

    • Traumatic Brain Injury and Neurovascular Disturbances 11
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Intracerebral and Subarachnoid Hemorrhage Research 3

Jun Ding

51 papers receiving 1.4k citations

Peers

Jun Ding
Comparison fields: 5 of 109
  • Neurology 318
  • Neurology 125
  • Geriatrics and Gerontology 48
  • Emergency Medicine 108
  • Organic Chemistry 292
Replace Ahsas Goyal with:
Ahsas Goyal India
Arie Gruzman Israel
Ming‐Wei Lin Taiwan
Ayako Okado‐Matsumoto Japan
Lipeng Xu China
Da‐Tong Ju Taiwan
Alfiya Bikineyeva United States
John T. Pinto United States
Hongliang Xu China
Jun Ding relative to Ahsas Goyal India Ahsas Goyal's profile →
Citations per field
00.5×10×14.4×
Ahsas Goyal · 1×
Citations per year

Countries citing papers authored by Jun Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Ding Line = papers co-authored together Jun Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015104
2 202292
3 201085
4 201774
5 202069
6 201265
7 201658
8 201251
9 201650
10 201946
11 201945
12 201844
13 202036
14 201836
15 201435
16 201833
17 200832
18 201928
19 201228
20 200627

About Jun Ding

Jun Ding is a scholar working on Neurology, Neurology, Geriatrics and Gerontology, Emergency Medicine and Organic Chemistry, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Catalytic C–H Functionalization Methods (5 papers), S100 Proteins and Annexins (4 papers), Nanoplatforms for cancer theranostics (3 papers), Trauma and Emergency Care Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Synthesis and Catalytic Reactions (3 papers). The work is most often cited by research in Neurology (318 citations), Neurology (125 citations), Geriatrics and Gerontology (48 citations), Emergency Medicine (108 citations) and Organic Chemistry (292 citations). Jun Ding has collaborated with scholars based in China, United States and India. Frequent co-authors include Heng‐Li Tian, Fang Yuan, Yan Guo, Shiwen Chen, Dianxu Yang, Zhiming Xu, Yingliang Liu, Hao Chen, Hao Chen and Shu‐Yu Zhang. Their work appears in journals such as Chemical Communications, Organic Letters, Journal of Neurotrauma, PLoS ONE and International Journal of Biological Macromolecules.

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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