Xiaoting Wen

898 citations
62 papers · 641 · h-index 15

Impact in

    • Systemic Lupus Erythematosus Research
    • Eosinophilic Disorders and Syndromes
    • Renal Diseases and Glomerulopathies

Papers in

    • Systemic Lupus Erythematosus Research 12
    • Atherosclerosis and Cardiovascular Diseases 4
    • Immune Response and Inflammation 3

Xiaoting Wen

58 papers receiving 632 citations

Peers

Xiaoting Wen
Comparison fields: 5 of 92
  • Rheumatology 170
  • Nephrology 38
  • Immunology 105
  • Epidemiology 117
  • Pulmonary and Respiratory Medicine 97
Replace Jianhong Sun with:
Jianhong Sun China
Ioannis Alexiou Greece
Ayuko Takatani Japan
Yueying Gu China
Tatjana Terzić Serbia
Maud Racapé France
Jens Lindegaard Denmark
Sheng Chen China
Christian Ehrnthaller Germany
Tsutomu Ohtsuka Japan
Xiaoting Wen relative to Jianhong Sun China Jianhong Sun's profile →
Citations per field
00.5×1.5×2×2.4×
Jianhong Sun · 1×
Citations per year

Countries citing papers authored by Xiaoting Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202055
2 201544
3 201733
4 201731
5 201531
6 202127
7 201627
8
A retrospective study of risk and prognostic factors in relation to lower respiratory tract infection in elderly lung cancer patients.
201521
9 201620
10 201518
11 202116
12 202315
13 202015
14 201915
15 201615
16 202013
17 201712
18 201512
19 201912
20 201512

About Xiaoting Wen

Xiaoting Wen is a scholar working on Rheumatology, Immunology, Epidemiology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 62 papers that have together received 641 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (12 papers), Inflammatory Myopathies and Dermatomyositis (8 papers), Vasculitis and related conditions (4 papers), Celiac Disease Research and Management (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Bone health and treatments (3 papers), Immune Response and Inflammation (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Rheumatology (170 citations), Nephrology (38 citations), Immunology (105 citations), Epidemiology (117 citations) and Pulmonary and Respiratory Medicine (97 citations). Xiaoting Wen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yongzhe Li, Liubing Li, Ziyan Wu, Hui Zhao, Zhiyu Wang, Chenxi Liu, Jing Li, Shulan Zhang, Yang Yao and Dan Qiao. Their work appears in journals such as Clinical Rheumatology, Oncotarget, PLoS ONE, Clinica Chimica Acta and Immunologic Research.

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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