Ding Liu

2.3k citations
55 papers · 1.3k · h-index 18

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • Immune Cell Function and Interaction
    • Protease and Inhibitor Mechanisms

Papers in

Ding Liu

51 papers receiving 1.3k citations

Peers

Ding Liu
Comparison fields: 5 of 107
  • Immunology 381
  • Cancer Research 241
  • Immunology and Allergy 80
  • Molecular Biology 847
  • Organic Chemistry 318
Replace Ana Sofía Carvalho with:
Ana Sofía Carvalho Portugal
Francis Jacob Switzerland
Fred K. Hagen United States
Niranjan B. Pandey United States
Guang‐Hui Jin China
Matej Vizovišek Slovenia
Toshifumi Hara Japan
Dmitriy Minond United States
Sandra Carvalho Portugal
Laura E. Sanman United States
Ding Liu relative to Ana Sofía Carvalho Portugal Ana Sofía Carvalho's profile →
Citations per field
00.5×2.8×
Ana Sofía Carvalho · 1×
Citations per year

Countries citing papers authored by Ding Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ding Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999210
2 2000166
3 2000161
4 202196
5 201875
6 201859
7 199956
8 202140
9 201834
10 201632
11 202031
12 202028
13 202027
14 202123
15 202123
16 202219
17 201718
18 201617
19 202217
20 202016

About Ding Liu

Ding Liu is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (18 papers), Carbohydrate Chemistry and Synthesis (13 papers), Chemical Synthesis and Analysis (7 papers), Peptidase Inhibition and Analysis (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Galectins and Cancer Biology (2 papers), Cell Adhesion Molecules Research (2 papers) and Groundwater flow and contamination studies (2 papers). The work is most often cited by research in Immunology (381 citations), Cancer Research (241 citations), Immunology and Allergy (80 citations), Molecular Biology (847 citations) and Organic Chemistry (318 citations). Ding Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Ni, Paul R. Crocker, Peng George Wang, Vladimir E. Belozerov, Hyun I. Park, Qing‐Xiang Amy Sang, Marie‐Geneviève Mattéi, Paul Klenerman, James Munday and Gavin Nicoll. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Biological Chemistry, Green Chemistry, Analytical Chemistry 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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