Lindi Jiang

894 total citations
22 papers, 638 citations indexed

About

Lindi Jiang is a scholar working on Pulmonary and Respiratory Medicine, Nephrology and Molecular Biology. According to data from OpenAlex, Lindi Jiang has authored 22 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 10 papers in Nephrology and 6 papers in Molecular Biology. Recurrent topics in Lindi Jiang's work include Vasculitis and related conditions (12 papers), Gout, Hyperuricemia, Uric Acid (5 papers) and Renal Diseases and Glomerulopathies (4 papers). Lindi Jiang is often cited by papers focused on Vasculitis and related conditions (12 papers), Gout, Hyperuricemia, Uric Acid (5 papers) and Renal Diseases and Glomerulopathies (4 papers). Lindi Jiang collaborates with scholars based in China and Netherlands. Lindi Jiang's co-authors include Lili Ma, Huiyong Chen, Qiang Yu, Ling Oei, Karol Estrada, Zhen Wang, Maria Carola Zillikens, Xin Gao, Fernando Rivadeneira and Zongfei Ji and has published in prestigious journals such as Arthritis Research & Therapy, European Journal of Nuclear Medicine and Molecular Imaging and Archives of Oral Biology.

In The Last Decade

Lindi Jiang

22 papers receiving 633 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lindi Jiang China 14 263 185 172 135 128 22 638
G Sakellariou Greece 17 199 0.8× 187 1.0× 67 0.4× 98 0.7× 201 1.6× 54 719
Eugénie Koumakis France 15 129 0.5× 134 0.7× 57 0.3× 248 1.8× 148 1.2× 39 674
Anita Persson Sweden 7 57 0.2× 230 1.2× 67 0.4× 73 0.5× 88 0.7× 9 852
Takeshi Nakatsue Japan 13 78 0.3× 171 0.9× 45 0.3× 241 1.8× 106 0.8× 42 593
Hiroki Mizuno Japan 11 31 0.1× 91 0.5× 94 0.5× 152 1.1× 118 0.9× 106 454
Marja-Kaisa Koivula Finland 12 149 0.6× 122 0.7× 30 0.2× 33 0.2× 145 1.1× 28 428
Dongbao Zhao China 11 39 0.1× 81 0.4× 113 0.7× 42 0.3× 49 0.4× 26 390
M Nakano Japan 14 25 0.1× 128 0.7× 129 0.8× 125 0.9× 94 0.7× 49 649
Leyre Riancho‐Zarrabeitia Spain 13 58 0.2× 62 0.3× 43 0.3× 54 0.4× 30 0.2× 39 422
Sandra Fátima Menosi Gualandro Brazil 14 51 0.2× 56 0.3× 89 0.5× 162 1.2× 18 0.1× 40 846

Countries citing papers authored by Lindi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Lindi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lindi Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Lindi Jiang. A scholar is included among the top collaborators of Lindi Jiang 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 Lindi Jiang. Lindi Jiang 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
1.
Wu, Sifan, Bing Wu, Lingying Ma, et al.. (2025). Association of PET vascular activity score with Takayasu’s arteritis angiographic progression. European Journal of Nuclear Medicine and Molecular Imaging. 52(11). 4268–4280. 1 indexed citations
2.
3.
Chen, Lingli, Ying Sun, Lingying Ma, et al.. (2022). Clinical and pathological predictors of relapse in IgG4-related disease. Arthritis Research & Therapy. 24(1). 106–106. 15 indexed citations
4.
Ma, Lingying, Sifan Wu, Xuejuan Jin, et al.. (2022). Efficacy and safety of tofacitinib versus leflunomide with glucocorticoids treatment in Takayasu arteritis: A prospective study. Seminars in Arthritis and Rheumatism. 55. 152018–152018. 19 indexed citations
5.
Wang, Yujiao, Lili Ma, Yun Liu, et al.. (2021). Risk assessment model for heart failure in Chinese patients with Takayasu’s arteritis. Clinical Rheumatology. 40(10). 4117–4126. 3 indexed citations
6.
Chen, Rongyi, Lingying Ma, Peng Lv, et al.. (2021). Serum complement 3 is a potential biomarker for assessing disease activity in Takayasu arteritis. Arthritis Research & Therapy. 23(1). 63–63. 15 indexed citations
7.
Ma, Lingying, Lijuan Zhang, Ying Sun, et al.. (2020). Prognostic factors in IgG4-related disease: a long-term monocentric Chinese cohort study. Clinical Rheumatology. 40(6). 2293–2300. 16 indexed citations
8.
Kong, Xiufang, Lili Ma, Peng Lv, et al.. (2020). Involvement of the pulmonary arteries in patients with Takayasu arteritis: a prospective study from a single centre in China. Arthritis Research & Therapy. 22(1). 131–131. 14 indexed citations
9.
Zhang, Xiaojie, Dongmei Liu, Ying Sun, et al.. (2020). Potential risk of hyperuricemia: leading cardiomyocyte hypertrophy by inducing autophagy.. PubMed. 12(5). 1894–1903. 9 indexed citations
10.
Kong, Xiufang, et al.. (2019). YKL-40 as a new biomarker of disease activity in Takayasu arteritis. International Journal of Cardiology. 293. 231–237. 13 indexed citations
11.
Chen, Rongyi, Ying Sun, Xiaomeng Cui, et al.. (2019). Autophagy promotes aortic adventitial fibrosis via the IL-6/Jak1 signaling pathway in Takayasu's arteritis. Journal of Autoimmunity. 99. 39–47. 28 indexed citations
12.
Sun, Ying, Lili Ma, Huiyong Chen, et al.. (2018). Analysis of predictive factors for treatment resistance and disease relapse in Takayasu’s arteritis. Clinical Rheumatology. 37(10). 2789–2795. 8 indexed citations
13.
Zhang, Xiaojie, Jun Zhou, Ying Sun, et al.. (2018). 18F-FDG-PET/CT: an accurate method to assess the activity of Takayasu’s arteritis. Clinical Rheumatology. 37(7). 1927–1935. 19 indexed citations
14.
Zhang, Xiaojie, Qing Lü, Zhuojun Zhang, et al.. (2018). Value of three-dimensional speckle tracking echocardiography to assess left ventricular function in hyperuricemia patients. Clinical Rheumatology. 37(9). 2539–2545. 11 indexed citations
15.
Sun, Ying, Lili Ma, Lingying Ma, et al.. (2017). Cyclophosphamide could be a better choice than methotrexate as induction treatment for patients with more severe Takayasu’s arteritis. Rheumatology International. 37(12). 2019–2026. 28 indexed citations
16.
Zou, Yan, Qian Jiang, Lindi Jiang, et al.. (2016). A preliminary study of the oral microbiota in Chinese patients with Sjögren’s syndrome. Archives of Oral Biology. 70. 143–148. 32 indexed citations
17.
Lei, Wei, Lili Ma, Huiyong Chen, et al.. (2015). Serum uric acid and its relationship with cardiovascular risk profile in Chinese patients with early-onset coronary artery disease. Clinical Rheumatology. 34(9). 1605–1611. 19 indexed citations
18.
19.
Ma, Lili, Wei Lei, Huiyong Chen, et al.. (2014). Influence of urate-lowering therapies on renal handling of uric acid. Clinical Rheumatology. 35(1). 133–141. 19 indexed citations
20.
Ma, Lili, Ling Oei, Lindi Jiang, et al.. (2012). Association between bone mineral density and type 2 diabetes mellitus: a meta-analysis of observational studies. European Journal of Epidemiology. 27(5). 319–332. 318 indexed citations

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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