Bi‐Ching Sang

3.8k citations
30 papers · 2.2k · h-index 18

Impact in

    • Gastrointestinal Tumor Research and Treatment
  • Oncology top 5%
    • Peptidase Inhibition and Analysis
    • HER2/EGFR in Cancer Research

Papers in

    • Melanoma and MAPK Pathways 7
    • Protein Kinase Regulation and GTPase Signaling 5
    • Cytokine Signaling Pathways and Interactions 4
    • Cancer-related Molecular Pathways 3
    • Peptidase Inhibition and Analysis 3

Bi‐Ching Sang

30 papers receiving 2.1k citations

Peers

Bi‐Ching Sang
Comparison fields: 5 of 99
  • Gastroenterology 171
  • Oncology 711
  • Hematology 232
  • Molecular Biology 1.2k
  • Immunology and Allergy 82
Replace R.J. Skene with:
R.J. Skene United States
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Bi‐Ching Sang relative to R.J. Skene United States R.J. Skene's profile →
Citations per field
00.5×1.5×
R.J. Skene · 1×
Citations per year

Countries citing papers authored by Bi‐Ching Sang

Since Specialization
Citations

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

Fields of papers citing papers by Bi‐Ching Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004463
2 2011310
3 2003193
4 2002168
5 2004162
6 2006121
7 201390
8 198985
9 198976
10 199774
11 199273
12 200355
13 201744
14 200040
15 201334
16 199222
17 201619
18 198918
19 201717
20 201717

About Bi‐Ching Sang

Bi‐Ching Sang is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Cell Biology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Synthesis and biological activity (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Computational Drug Discovery Methods (3 papers), Microtubule and mitosis dynamics (3 papers), Cancer-related Molecular Pathways (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Gastroenterology (171 citations), Oncology (711 citations), Hematology (232 citations), Molecular Biology (1.2k citations) and Immunology and Allergy (82 citations). Bi‐Ching Sang has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Hua Zou, R.J. Skene, Clifford D. Mol, Michelle L. Kraus, Daniel Scheibe, Miguel Barbosa, G. Snell, Kathleen Aertgeerts, Douglas R. Dougan and T. Schneider. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry, Molecular Cancer Therapeutics, Protein Science and ChemMedChem.

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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