Haixia Guan

7.3k citations
150 papers · 4.3k indexed · 1 hit paper · h-index 35
Topics
Thyroid Disorders and Treatments (52 papers)Thyroid Cancer Diagnosis and Treatment (47 papers)Cancer-related Molecular Pathways (10 papers)
Partner nations
ChinaUnited StatesItaly

In The Last Decade

Haixia Guan

146 papers receiving 4.3k citations

Hit Papers

Prevalence of Hyperuricemia and Gout in Mainland China fr...20152026201820222015100200300400

Peers

Haixia Guan
Comparison fields: 5 of 145
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Molecular Biology 1.5k
  • Oncology 707
  • Pathology and Forensic Medicine 618
  • Surgery 567
Replace Yangang Wang with:
Yangang Wang China
Bernhard Paulweber Austria
Keizo Kanasaki Japan
Chuan‐Ming Hao China
Yiming Mu China
Riccardo Candido Italy
Peter Alexandersen Denmark
Atsushi Fukatsu Japan
Jean‐Luc Wautier France
Naoki Kashihara Japan
Haixia Guan relative to Yangang Wang China Yangang Wang's profile →
Citations per field
00.5×1.5×2.0×
Yangang Wang · 1×
Citations per year

Countries citing papers authored by Haixia Guan

Since Specialization
Citations

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

Fields of papers citing papers by Haixia Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixia Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Haixia Guan. A scholar is included among the top collaborators of Haixia Guan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haixia Guan. Haixia Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 13
5 2
6 12
7 8
8 10
9 12
10 4
11 5
12 1
13 14
14 20
15 5
16 28
17 40
18 45
19 14
20 54

About Haixia Guan

Haixia Guan is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Endocrine and Autonomic Systems, having authored 150 papers that have together received 4.3k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (52 papers), Thyroid Cancer Diagnosis and Treatment (47 papers) and Cancer-related Molecular Pathways (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Nephrology (460 citations) and Pathology and Forensic Medicine (618 citations). Haixia Guan has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Weiping Teng, Zhongyan Shan, Meiju Ji, Peng Hou, Mingzhao Xing, Di Wu, Cheng Han, Jianqiu Gu, Xinghai Xia and Rui Liu. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

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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