Haixia Gong

781 citations
15 papers · 607 indexed · h-index 9

Haixia Gong

14 papers receiving 602 citations

Peers

Haixia Gong
Comparison fields: 5 of 86
  • Immunology and Allergy 141
  • Hematology 154
  • Cell Biology 106
  • Sensory Systems 31
  • Cancer Research 73
Replace S. S. Shasby with:
S. S. Shasby United States
Chenzhong Fu United States
Tessa J.M. Wijnhoven Netherlands
A. Karniguian France
Melissa Geyer United States
Yutaka Harita Japan
Steven E. Merritt United States
Katsutoshi Yamakawa Japan
Simona Frateschi Switzerland
Jovana Serbanovic‐Canic United Kingdom
Haixia Gong relative to S. S. Shasby United States S. S. Shasby's profile →
Citations per field
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S. S. Shasby · 1×
Citations per year

Countries citing papers authored by Haixia Gong

Since Specialization
Citations

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

Fields of papers citing papers by Haixia Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20240
2 202214
3 201721
4 201741
5 201615
6 2015113
7 201455
8 20131
9 2010178
10 20102
11 2007136
12 20068
13
A mutation in signal peptide of rat resistin gene inhibits differentiation of 3T3-L1 preadipocytes.
20044
14
[Expression of TSG-6 gene during 3T3-L1 preadipocyte differentiation and regulative role of tumor necrosis factor-alpha].
20041
15
Lipolysis and apoptosis of adipocytes induced by neuropeptide Y-Y5 receptor antisense oligodeoxynucleotides in obese rats.
200318

About Haixia Gong

Haixia Gong is a scholar working on Immunology and Allergy, Endocrine and Autonomic Systems and Physiology, having authored 15 papers that have together received 607 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Adipose Tissue and Metabolism (3 papers), Blood disorders and treatments (2 papers), Regulation of Appetite and Obesity (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Immunology and Allergy (141 citations), Hematology (154 citations) and Cell Biology (106 citations). Haixia Gong has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xiaoping Du, Panagiotis Flevaris, Asrar B. Malik, Emily J. Welch, Aleksandra Stojanović, Athar H. Chishti, Tohru Kozasa, Christina R. Chow, Bo Shen and T. Voyno-Yasenetskaya. Their work appears in journals such as Science, Journal of Clinical Investigation and The Journal of Experimental Medicine.

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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