Fa‐Xiang Ding

1.2k citations
28 papers · 732 · h-index 19

Impact in

Papers in

Fa‐Xiang Ding

28 papers receiving 721 citations

Peers

Fa‐Xiang Ding
Comparison fields: 5 of 75
  • Virology 53
  • Biochemistry 79
  • Organic Chemistry 210
  • Molecular Biology 447
  • Cellular and Molecular Neuroscience 118
Replace Andy Merritt with:
Andy Merritt United Kingdom
Corinne Kay United Kingdom
Tomokazu Ueki Japan
Per-Olof Markgren Sweden
Serdar Kurtkaya United States
David R. Witty United Kingdom
Harold G. Selnick United States
Yiqin Wu United States
L. Michel Espinoza‐Fonseca United States
Jean‐Louis Kraus France
Fa‐Xiang Ding relative to Andy Merritt United Kingdom Andy Merritt's profile →
Citations per field
00.5×3.6×
Andy Merritt · 1×
Citations per year

Countries citing papers authored by Fa‐Xiang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Fa‐Xiang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200963
2 200951
3 200047
4 200343
5 200439
6 200939
7 201136
8 201034
9 200133
10 200133
11 200130
12 200929
13 201025
14 201025
15 200824
16 200922
17 201122
18 201319
19 200118
20 201017

About Fa‐Xiang Ding

Fa‐Xiang Ding is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 28 papers that have together received 732 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Chemical Synthesis and Analysis (5 papers), Neurobiology and Insect Physiology Research (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Lipid Membrane Structure and Behavior (4 papers), HIV Research and Treatment (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Virology (53 citations), Biochemistry (79 citations), Organic Chemistry (210 citations), Molecular Biology (447 citations) and Cellular and Molecular Neuroscience (118 citations). Fa‐Xiang Ding has collaborated with scholars based in United States, Israel and Latvia. Frequent co-authors include Fred Naider, Jeffrey M. Becker, Boris Arshava, Steven L. Colletti, Hong C. Shen, Mark E. Dumont, James R. Tata, Haibo Xie, Ehud Gazit and Yair Porat. Their work appears in journals such as Biochemistry, Bioorganic & Medicinal Chemistry Letters, Biopolymers, Journal of Biological Chemistry and Journal of Molecular Biology.

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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