Haixiang Su

622 citations
20 papers · 489 · h-index 12

Impact in

    • Oral microbiology and periodontitis research
    • Salivary Gland Disorders and Functions
    • Alzheimer's disease research and treatments
    • Lysosomal Storage Disorders Research

Papers in

    • Circular RNAs in diseases 2
    • Cancer, Lipids, and Metabolism 3
    • MicroRNA in disease regulation 2
    • Cancer-related molecular mechanisms research 2

Haixiang Su

20 papers receiving 481 citations

Peers

Haixiang Su
Comparison fields: 5 of 95
  • Periodontics 93
  • Physiology 102
  • Rheumatology 55
  • Biochemistry 20
  • Pharmacology 28
Replace Neetu Singh with:
Neetu Singh India
Zhongyuan Tang China
Ruth B. Field United States
Sung Chul Kwak South Korea
Lingling Yu China
Tadeusz F. Krzemiński Poland
Ou Li China
Chia‐Yao Shen Taiwan
Marwa O. El-Derany Egypt
Hongqiang Yu China
Haixiang Su relative to Neetu Singh India Neetu Singh's profile →
Citations per field
00.5×5.2×
Neetu Singh · 1×
Citations per year

Countries citing papers authored by Haixiang Su

Since Specialization
Citations

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

Fields of papers citing papers by Haixiang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2009112
2 2009102
3 202244
4 200836
5 201434
6 201824
7 201422
8 202117
9 202315
10 201013
11 201612
12 202412
13 202011
14 202011
15 20239
16 20224
17 20254
18 20253
19 20203
20 20251

About Haixiang Su

Haixiang Su is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Physiology and Surgery, having authored 20 papers that have together received 489 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (3 papers), Circular RNAs in diseases (2 papers), Fungal Plant Pathogen Control (2 papers), Salivary Gland Disorders and Functions (2 papers), MicroRNA in disease regulation (2 papers), Hops Chemistry and Applications (2 papers), GDF15 and Related Biomarkers (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Periodontics (93 citations), Physiology (102 citations), Rheumatology (55 citations), Biochemistry (20 citations) and Pharmacology (28 citations). Haixiang Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hyman M. Schipper, Ana Míriam Velly, Mervyn Gornitsky, Michael Benarroch, Han‐Ling Yu, Hillel Zukor, Maria K. Lehtinen, Saara Tegelberg, Tarja Joensuu and Anna‐Elina Lehesjoki. Their work appears in journals such as Advanced Science, PeerJ, The Journal of Rheumatology, Dose-Response and Journal of Neuroscience.

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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