Cindy Lin

3.2k total citations
18 papers, 934 citations indexed

About

Cindy Lin is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Cindy Lin has authored 18 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Cindy Lin's work include Immune cells in cancer (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Chemokine receptors and signaling (4 papers). Cindy Lin is often cited by papers focused on Immune cells in cancer (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Chemokine receptors and signaling (4 papers). Cindy Lin collaborates with scholars based in United States, Netherlands and Canada. Cindy Lin's co-authors include Yulia Nefedova, Chih-Hang Anthony Tang, Juan R. Del Valle, Chih‐Chi Andrew Hu, Joseph A. Zundell, Sujeewa Ranatunga, Dan T. Vogl, Dmitry I. Gabrilovich, Hui Deng and Andrew V. Kossenkov and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Cindy Lin

18 papers receiving 926 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cindy Lin United States 10 595 339 232 167 131 18 934
Robert Tacke United States 11 682 1.1× 241 0.7× 269 1.2× 48 0.3× 138 1.1× 14 1.0k
Ahmed Lasfar United States 19 433 0.7× 324 1.0× 368 1.6× 79 0.5× 165 1.3× 30 981
Juho J. Miettinen Finland 10 244 0.4× 479 1.4× 166 0.7× 80 0.5× 150 1.1× 26 790
Yayi Gao China 16 560 0.9× 261 0.8× 156 0.7× 40 0.2× 70 0.5× 19 853
Kai Hoehlig Germany 13 676 1.1× 274 0.8× 210 0.9× 34 0.2× 67 0.5× 16 1.0k
Aalok Kacha United States 6 1.2k 2.0× 332 1.0× 834 3.6× 103 0.6× 52 0.4× 9 1.5k
Jin-Qing Liu United States 20 982 1.7× 290 0.9× 546 2.4× 42 0.3× 91 0.7× 55 1.3k
Jonathan Trujillo United States 11 357 0.6× 190 0.6× 341 1.5× 81 0.5× 31 0.2× 18 677
Cheng-Jang Wu United States 9 558 0.9× 531 1.6× 371 1.6× 30 0.2× 61 0.5× 16 1.1k

Countries citing papers authored by Cindy Lin

Since Specialization
Citations

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

Fields of papers citing papers by Cindy Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cindy Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Cindy Lin. A scholar is included among the top collaborators of Cindy Lin 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 Cindy Lin. Cindy Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Luo, Chen‐Hui, Lihong Hu, Xia Li, et al.. (2024). CDK9 recruits HUWE1 to degrade RARα and offers therapeutic opportunities for cutaneous T-cell lymphoma. Nature Communications. 15(1). 10594–10594. 2 indexed citations
2.
Bertolini, Irene, Michela Perego, Yulia Nefedova, et al.. (2023). Intercellular hif1α reprograms mammary progenitors and myeloid immune evasion to drive high-risk breast lesions. Journal of Clinical Investigation. 133(8). 8 indexed citations
3.
Lin, Cindy, Laura Garcia-Gerique, Jérôme Mastio, et al.. (2023). S100A8/S100A9 Promote Progression of Multiple Myeloma via Expansion of Megakaryocytes. Cancer Research Communications. 3(3). 420–430. 9 indexed citations
4.
Deng, Hui, Cindy Lin, Laura Garcia-Gerique, et al.. (2022). A Novel Selective Inhibitor JBI-589 Targets PAD4-Mediated Neutrophil Migration to Suppress Tumor Progression. Cancer Research. 82(19). 3561–3572. 59 indexed citations
5.
Duan, Wenming, Cindy Lin, Hong Ouyang, et al.. (2021). Inflammatory epithelial cytokines afterin vitrorespiratory syncytial viral infection are associated with reduced lung function. ERJ Open Research. 7(3). 365–2021. 8 indexed citations
6.
Lü, Fang, Kayla Martin, Samantha S. Soldan, et al.. (2021). Defective Epstein-Barr Virus Genomes and Atypical Viral Gene Expression in B-Cell Lines Derived from Multiple Myeloma Patients. Journal of Virology. 95(13). e0008821–e0008821. 7 indexed citations
7.
Alicea-Torres, Kevin, Emilio Sanseviero, Jun Gui, et al.. (2021). Immune suppressive activity of myeloid-derived suppressor cells in cancer requires inactivation of the type I interferon pathway. Nature Communications. 12(1). 1717–1717. 71 indexed citations
8.
Lin, Cindy, Hui Deng, Joann Strnad, et al.. (2020). A Novel Peptidylarginine Deiminase 4 (PAD4) Inhibitor BMS-P5 Blocks Formation of Neutrophil Extracellular Traps and Delays Progression of Multiple Myeloma. Molecular Cancer Therapeutics. 19(7). 1530–1538. 118 indexed citations
9.
Perego, Michela, Vladimir A. Tyurin, Yulia Y. Tyurina, et al.. (2020). Reactivation of dormant tumor cells by modified lipids derived from stress-activated neutrophils. Science Translational Medicine. 12(572). 146 indexed citations
10.
Leu, Julia I-Ju, Thibaut Barnoud, Prashanthi Vonteddu, et al.. (2020). African-centric TP53 variant increases iron accumulation and bacterial pathogenesis but improves response to malaria toxin. Nature Communications. 11(1). 473–473. 35 indexed citations
11.
Leu, Julia I-Ju, Thibaut Barnoud, Prashanthi Vonteddu, et al.. (2020). Author Correction: African-centric TP53 variant increases iron accumulation and bacterial pathogenesis but improves response to malaria toxin. Nature Communications. 11(1). 1541–1541. 4 indexed citations
12.
Griffiths, Cameron, Leanne M. Bilawchuk, John E. McDonough, et al.. (2020). Publisher Correction: IGF1R is an entry receptor for respiratory syncytial virus. Nature. 583(7815). E22–E22. 5 indexed citations
13.
Griffiths, Cameron, Leanne M. Bilawchuk, John E. McDonough, et al.. (2020). IGF1R is an entry receptor for respiratory syncytial virus. Nature. 583(7817). 615–619. 119 indexed citations
14.
Lin, Cindy, et al.. (2020). Quantification of Citrullinated Histone H3 Bound DNA for Detection of Neutrophil Extracellular Traps. Cancers. 12(11). 3424–3424. 18 indexed citations
15.
Lin, Cindy, et al.. (2017). Bone marrow myeloid cells in regulation of multiple myeloma progression. Cancer Immunology Immunotherapy. 66(8). 1007–1014. 9 indexed citations
16.
Tang, Chih-Hang Anthony, Joseph A. Zundell, Sujeewa Ranatunga, et al.. (2016). Agonist-Mediated Activation of STING Induces Apoptosis in Malignant B Cells. Cancer Research. 76(8). 2137–2152. 250 indexed citations
17.
Ramachandran, Indu, Thomas Condamine, Cindy Lin, et al.. (2015). Bone marrow PMN-MDSCs and neutrophils are functionally similar in protection of multiple myeloma from chemotherapy. Cancer Letters. 371(1). 117–124. 63 indexed citations
18.
Ramachandran, Indu, et al.. (2014). A Novel Agent Tasquinimod Demonstrates a Potent Anti-Tumor Activity in Pre-Clinical Models of Multiple Myeloma. Blood. 124(21). 5729–5729. 3 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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