Huiting Su

920 citations
25 papers · 642 · h-index 13

Impact in

  • Immunology top 10%
    • Macrophage Migration Inhibitory Factor
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • RNA modifications and cancer 4
    • Immune Cell Function and Interaction 2
    • Immunotherapy and Immune Responses 2
    • Galectins and Cancer Biology 1

Huiting Su

24 papers receiving 638 citations

Peers

Huiting Su
Comparison fields: 5 of 86
  • Immunology 214
  • Oncology 101
  • Cancer Research 47
  • Epidemiology 84
  • Molecular Biology 180
Replace Prabhakaran Kumar with:
Prabhakaran Kumar United States
Chaokui Wang China
Germán Rodrigo Alemán-Muench Mexico
Lisa Göschl Austria
Brian T. Saunders United States
Rongxiu Zheng China
Jana Raynor United States
Eunkyeong Jang South Korea
Hidekazu Ishida Japan
Huiting Su relative to Prabhakaran Kumar United States Prabhakaran Kumar's profile →
Citations per field
00.5×1.5×
Prabhakaran Kumar · 1×
Citations per year

Countries citing papers authored by Huiting Su

Since Specialization
Citations

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

Fields of papers citing papers by Huiting Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016209
2 201782
3 202052
4 201747
5 201843
6 201633
7 202028
8 201726
9 202223
10 202220
11 202313
12 201713
13 201613
14 202310
15 20218
16 20167
17 20244
18 20213
19 20252
20 20242

About Huiting Su

Huiting Su is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Physiology, having authored 25 papers that have together received 642 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers), Hybrid Renewable Energy Systems (2 papers), Cancer-related molecular mechanisms research (2 papers), Virus-based gene therapy research (2 papers), Gestational Diabetes Research and Management (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (214 citations), Oncology (101 citations), Cancer Research (47 citations), Epidemiology (84 citations) and Molecular Biology (180 citations). Huiting Su has collaborated with scholars based in China, Taiwan and Russia. Frequent co-authors include Yong Zhao, Ning Na, Xiaodong Zhang, Yang Zhao, Liping Zhang, Xiaofei Shen, Junfeng Du, Xiaodong Zhang, Yishu Tang and Ju Cao. Their work appears in journals such as Inflammation Research, Journal of Visualized Experiments, Scientific Reports, iScience and Frontiers in Cellular and Infection Microbiology.

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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