Caleb Huang

1.0k citations
15 papers · 775 · h-index 12

Impact in

    • Sulfur Compounds in Biology
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immune cells in cancer
    • Macrophage Migration Inhibitory Factor

Papers in

    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 2
    • Chemokine receptors and signaling 2

Caleb Huang

15 papers receiving 767 citations

Peers

Caleb Huang
Comparison fields: 5 of 115
  • Biochemistry 130
  • Immunology 343
  • Oncology 235
  • Family Practice 14
  • Nephrology 43
Replace Shengnan Chen with:
Shengnan Chen China
Joyce V. Lee Singapore
Mark Juckett United States
Christoph Zenzmaier Austria
Claudine A. Louis United States
Alon Margalit Israel
Chi‐Ren Tsai Taiwan
Yuxia Chen China
Boleslav Goldman Israel
Kathy Day United States
Caleb Huang relative to Shengnan Chen China Shengnan Chen's profile →
Citations per field
00.5×5.4×
Shengnan Chen · 1×
Citations per year

Countries citing papers authored by Caleb Huang

Since Specialization
Citations

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

Fields of papers citing papers by Caleb Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011192
2 201597
3 202087
4 202073
5 201272
6 201654
7 201553
8 201348
9 201531
10 202027
11 201418
12 201811
13 20128
14 20142
15 20202

About Caleb Huang

Caleb Huang is a scholar working on Immunology, Oncology, Clinical Psychology, Biochemistry and Molecular Biology, having authored 15 papers that have together received 775 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (4 papers), Sulfur Compounds in Biology (3 papers), Chemokine receptors and signaling (2 papers), Perfectionism, Procrastination, Anxiety Studies (2 papers), Bipolar Disorder and Treatment (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Biochemistry (130 citations), Immunology (343 citations), Oncology (235 citations), Family Practice (14 citations) and Nephrology (43 citations). Caleb Huang has collaborated with scholars based in Singapore, United States and Japan. Frequent co-authors include Philip K. Moore, Charlene Tow, Alessandra Nardin, Michelle Hong, Armelle Prévost‐Blondel, Laure Loumagne, Marie-Françoise Avril, Charles R. Mackay, Masashi Kato and Jean-Pierre Abastado. Their work appears in journals such as Handbook of experimental pharmacology, Clinical Cancer Research, Diabetes & Metabolism, JNCI Journal of the National Cancer Institute and The Journal of Physical Chemistry B.

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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