Ting-Chi Lu

561 citations
9 papers · 448 · h-index 8

Impact in

  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • Renal Diseases and Glomerulopathies 5
    • Amyloidosis: Diagnosis, Treatment, Outcomes 2
    • Angiogenesis and VEGF in Cancer 1

Ting-Chi Lu

9 papers receiving 446 citations

Peers

Ting-Chi Lu
Comparison fields: 5 of 58
  • Nephrology 226
  • Virology 53
  • Immunology 93
  • Obstetrics and Gynecology 26
  • Emergency Medicine 22
Replace Xiaobei Feng with:
Xiaobei Feng China
Satoshi Higasa Japan
Robert L. Seigle United States
Yoshinobu Fuke Japan
J Estreicher Switzerland
Maëlle Locatelli United States
Alexis Harris United States
Xiangju Wang Australia
Éstelle Desport France
Wen‐Pin Tsai Taiwan
Ting-Chi Lu relative to Xiaobei Feng China Xiaobei Feng's profile →
Citations per field
00.5×1.5×
Xiaobei Feng · 1×
Citations per year

Countries citing papers authored by Ting-Chi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Chi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Chi Lu. 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 Ting-Chi Lu. The network helps show where Ting-Chi Lu may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 200999
2 200882
3 201059
4 200958
5 200858
6 200838
7 200629
8 200722
9 20073

About Ting-Chi Lu

Ting-Chi Lu is a scholar working on Nephrology, Molecular Biology, Oncology, Rheumatology and Immunology, having authored 9 papers that have together received 448 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Systemic Lupus Erythematosus Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Reproductive System and Pregnancy (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Pregnancy and preeclampsia studies (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Nephrology (226 citations), Virology (53 citations), Immunology (93 citations), Obstetrics and Gynecology (26 citations) and Emergency Medicine (22 citations). Ting-Chi Lu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include John Cijiang He, Paul E. Klotman, Xiaobei Feng, Ravi Iyengar, Peter Y. Chuang, Wei Fang, Huabao Xiong, Vivette D. D’Agati, David E. Levy and Yuhong Shen. Their work appears in journals such as Nephron Clinical Practice, Kidney International, Journal of the American Society of Nephrology, Molecular and Cellular Biology and Journal of Biological Chemistry.

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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