Bei Ding

1.8k citations
58 papers · 1.5k · h-index 22

Impact in

Papers in

Bei Ding

57 papers receiving 1.5k citations

Peers

Bei Ding
Comparison fields: 5 of 114
  • Radiology, Nuclear Medicine and Imaging 268
  • Neurology 168
  • Microbiology 54
  • Cellular and Molecular Neuroscience 124
  • Neurology 54
Replace Iwao Kanno with:
Iwao Kanno Japan
Silvia Lope‐Piedrafita Spain
Edward George Robins United Kingdom
Khaled Nasr United States
Sharon Gilead Israel
Sasmita Das United States
Ivo Doudevski United States
Andrey I. Frolov United States
Edoardo Micotti Italy
Cynthia A. Husted United States
Bei Ding relative to Iwao Kanno Japan Iwao Kanno's profile →
Citations per field
00.5×5×10×16.3×
Iwao Kanno · 1×
Citations per year

Countries citing papers authored by Bei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Bei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015189
2 2009109
3 201390
4 201482
5 202480
6 201169
7 201267
8 201763
9 200662
10 201358
11 201655
12 200951
13 201149
14 201036
15 202533
16 200932
17 200829
18 201128
19 202226
20 201926

About Bei Ding

Bei Ding is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Biophysics, Molecular Biology and Biomedical Engineering, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (11 papers), Photoreceptor and optogenetics research (11 papers), Advanced X-ray and CT Imaging (8 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Lipid Membrane Structure and Behavior (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (268 citations), Neurology (168 citations), Microbiology (54 citations), Cellular and Molecular Neuroscience (124 citations) and Neurology (54 citations). Bei Ding has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Zhan Chen, Huawei Ling, Kemin Chen, Huan Zhang, Fuhua Yan, Naying He, Zhongping Zhang, Chunlei Liu, Yong Zhang and Juan Huang. Their work appears in journals such as The Journal of Physical Chemistry B, Proceedings of the National Academy of Sciences, Journal of Imaging Informatics in Medicine, Journal of the American Chemical Society and PLoS ONE.

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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