Cong‐Fa Huang

1.6k citations
31 papers · 1.4k indexed · h-index 18

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Cancer Cells and Metastasis 7
    • Cancer Immunotherapy and Biomarkers 6
    • Cancer, Hypoxia, and Metabolism 3

Cong‐Fa Huang

30 papers receiving 1.4k citations

Peers

Cong‐Fa Huang
Comparison fields: 5 of 80
  • Immunology 511
  • Oncology 649
  • Cancer Research 324
  • Otorhinolaryngology 69
  • Molecular Biology 771
Replace Jianming Hu with:
Jianming Hu China
Quintin Pan United States
Xiaoan Tao China
Lei Cai China
Xiaocheng Zhou China
Jeffery N. Myers United States
Kun-Tu Yeh Taiwan
P.R. Elford Switzerland
C C Bancroft United States
Cong‐Fa Huang relative to Jianming Hu China Jianming Hu's profile →
Citations per field
00.5×1.5×2.5×
Jianming Hu · 1×
Citations per year

Countries citing papers authored by Cong‐Fa Huang

Since Specialization
Citations

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

Fields of papers citing papers by Cong‐Fa Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20240
3 20236
4 202314
5 20235
6 20224
7 20222
8 202217
9 2017110
10 2017119
11 2017139
12 201770
13 201613
14 201516
15 201590
16 201416
17 201355
18 201346
19 201247
20 201054

About Cong‐Fa Huang

Cong‐Fa Huang is a scholar working on Oncology, Cancer Research, Immunology, Biotechnology and Oral Surgery, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Immune cells in cancer (6 papers), Immune Cell Function and Interaction (4 papers), Cancer Research and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Inflammasome and immune disorders (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Immunology (511 citations), Oncology (649 citations), Cancer Research (324 citations), Otorhinolaryngology (69 citations) and Molecular Biology (771 citations). Cong‐Fa Huang has collaborated with scholars based in China, United States and Democratic Republic of the Congo. Frequent co-authors include Zhi‐Jun Sun, Wen‐Feng Zhang, Guang‐Tao Yu, Lin‐Lin Bu, Si‐Rui Ma, Lei Wu, Yicun Li, Liang Mao, Lei Chen and Zhili Zhao. Their work appears in journals such as Oncotarget, PLoS ONE, Cancer Immunology Immunotherapy, Journal of Pharmacology and Experimental Therapeutics and Molecular Oncology.

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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