Cong Bi

993 citations
32 papers · 776 indexed · h-index 17

Impact in

Papers in

Cong Bi

31 papers receiving 768 citations

Peers

Cong Bi
Comparison fields: 5 of 95
  • Spectroscopy 194
  • Radiology, Nuclear Medicine and Imaging 198
  • Molecular Biology 469
  • Analytical Chemistry 39
  • Biophysics 21
Replace Ryan Matsuda with:
Ryan Matsuda United States
Jeanethe Anguizola United States
Xiwei Zheng United States
Eleonora Corradini Netherlands
Olivier Mozziconacci United States
Ken Cook United Kingdom
Chengjie Ji China
Omar S. Barnaby United States
Inho Choi South Korea
Cong Bi relative to Ryan Matsuda United States Ryan Matsuda's profile →
Citations per field
00.5×1.5×2.3×
Ryan Matsuda · 1×
Citations per year

Countries citing papers authored by Cong Bi

Since Specialization
Citations

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

Fields of papers citing papers by Cong Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012159
2 201772
3 201564
4 201751
5 201944
6 201333
7 202432
8 201528
9 201527
10 201526
11 201623
12 201922
13 201622
14 201521
15 201721
16 201618
17 201718
18 202215
19 202115
20 201514

About Cong Bi

Cong Bi is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy, Molecular Biology, Pharmacology and Sensory Systems, having authored 32 papers that have together received 776 indexed citations. Recurring topics across this work include Protein purification and stability (11 papers), Protein Interaction Studies and Fluorescence Analysis (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Analytical Chemistry and Chromatography (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Aortic aneurysm repair treatments (3 papers), MicroRNA in disease regulation (2 papers) and Magnetic and transport properties of perovskites and related materials (2 papers). The work is most often cited by research in Spectroscopy (194 citations), Radiology, Nuclear Medicine and Imaging (198 citations), Molecular Biology (469 citations), Analytical Chemistry (39 citations) and Biophysics (21 citations). Cong Bi has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include David S. Hage, Xiwei Zheng, Jeanethe Anguizola, Ryan Matsuda, Zhao Li, Erika L. Pfaunmiller, Chenhua Zhang, Efthimia Papastavros, Rong Li and Kyungah Suh. Their work appears in journals such as Journal of Chromatography A, Journal of Pharmaceutical and Biomedical Analysis, Journal of Chromatography B, Journal of Functional Foods and Analytical and Bioanalytical Chemistry.

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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