Julia Ding

33 papers receiving 796 citations

Hit Papers

Schwann cell endosome CGRP signals elicit periorbital mechanical allodynia in mice 2022 · 103 citations
1032022202620232024255075100

Peers

Julia Ding
Comparison fields: 5 of 111
  • Biophysics 46
  • Sensory Systems 26
  • Molecular Biology 354
  • Organic Chemistry 140
  • Analytical Chemistry 46
Replace Carlos Tassa with:
Carlos Tassa United States
Chenchen Song China
Jesús González United States
P.R. Crippa Italy
Martina Banchelli Italy
Craig A. Aspinwall United States
Oxana Klementieva Sweden
Adela C. Bonoiu United States
Nicole M. Smith Australia
Julia Ding relative to Carlos Tassa United States Carlos Tassa's profile →
Citations per field
00.5×6.5×
Carlos Tassa · 1×
Citations per year

Countries citing papers authored by Julia Ding

Since Specialization
Citations

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

Fields of papers citing papers by Julia Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999123
2 2020117
3
Schwann cell endosome CGRP signals elicit periorbital mechanical allodynia in mice
Hit paper breakdown →
2022103
4 202056
5 199949
6 201335
7 202033
8 202029
9 201928
10 200427
11 201722
12 201621
13 201618
14 199617
15 201916
16 199714
17 202012
18 202012
19 202112
20 202011

About Julia Ding

Julia Ding is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Organic Chemistry and Spectroscopy, having authored 34 papers that have together received 822 indexed citations. Recurring topics across this work include Protein purification and stability (19 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Surfactants and Colloidal Systems (3 papers), Analytical Chemistry and Chromatography (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Biophysics (46 citations), Sensory Systems (26 citations), Molecular Biology (354 citations), Organic Chemistry (140 citations) and Analytical Chemistry (46 citations). Julia Ding has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Douglas L. Gin, Zheng Jian Li, Letha Chemmalil, Sanchayita Ghose, Fredric M. Menger, Seth A. Miller, Dhanuka P. Wasalathanthri, Yuanli Song, Michael Borys and Hans A. Hofmann. Their work appears in journals such as Biotechnology and Bioengineering, Analytical and Bioanalytical Chemistry, Journal of Chromatography B, Electrophoresis and Chemistry of Materials.

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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