Jing‐Ping Lin

4.2k total citations · 1 hit paper
52 papers, 2.1k citations indexed

About

Jing‐Ping Lin is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jing‐Ping Lin has authored 52 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Genetics and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jing‐Ping Lin's work include Genetic Associations and Epidemiology (12 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Tuberous Sclerosis Complex Research (5 papers). Jing‐Ping Lin is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Tuberous Sclerosis Complex Research (5 papers). Jing‐Ping Lin collaborates with scholars based in United States, China and Germany. Jing‐Ping Lin's co-authors include L. Adrienne Cupples, Christopher J. O’Donnell, Daniel L. Kastner, Harvey A. Schwertner, Libor Vı́tek, Dimitris A. Papanicolaou, J A Carney, Michael Karl, Eran Pras and George P. Chrousos and has published in prestigious journals such as Nature, Science and Circulation.

In The Last Decade

Jing‐Ping Lin

50 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A lymphocyte–microglia–astrocyte axis in chronic active multiple sclerosis

2021 445 citations Martina Absinta, Dragan Maric et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing‐Ping Lin United States	21	788	327	324	311	306	52	2.1k
Christopher R. Pierson United States	31	1.1k 1.5×	366 1.1×	336 1.0×	121 0.4×	409 1.3×	103	2.9k
Thomas C. Markello United States	28	943 1.2×	350 1.1×	173 0.5×	476 1.5×	428 1.4×	68	2.5k
Mansoor Sarfarazi United States	32	2.0k 2.5×	219 0.7×	275 0.8×	341 1.1×	85 0.3×	58	4.7k
Vesa Ruotsalainen Finland	22	2.1k 2.6×	177 0.5×	381 1.2×	603 1.9×	118 0.4×	26	4.4k
Hideaki Yokoo Japan	28	981 1.2×	444 1.4×	178 0.5×	251 0.8×	73 0.2×	181	2.7k
Ekaterini Tsilou United States	22	948 1.2×	129 0.4×	148 0.5×	226 0.7×	325 1.1×	36	2.2k
Izumi Suzuma Japan	26	1.3k 1.6×	155 0.5×	248 0.8×	87 0.3×	77 0.3×	29	2.8k
Ken‐ichiro Kikuta Japan	31	332 0.4×	408 1.2×	200 0.6×	156 0.5×	129 0.4×	153	3.2k
Francesca L. Sciacca Italy	21	549 0.7×	157 0.5×	285 0.9×	162 0.5×	66 0.2×	48	1.7k
Christine Haberler Austria	30	1.2k 1.5×	348 1.1×	265 0.8×	311 1.0×	45 0.1×	98	2.6k

Countries citing papers authored by Jing‐Ping Lin

Since Specialization

Citations

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

Fields of papers citing papers by Jing‐Ping Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing‐Ping Lin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fagiani, Francesca, Edoardo Pedrini, Jing‐Ping Lin, et al.. (2025). Spatially-restricted inflammation-induced senescent-like glia in multiple sclerosis and patient-derived organoids. Nature Communications. 16(1). 8477–8477.

Hong, Zhi-Nuan, Yingjie Cai, Zhen Chen, et al.. (2024). Prognostic value of inflammatory nutritional scores in locally advanced esophageal squamous cell carcinoma patients undergoing neoadjuvant chemoimmunotherapy: a multicenter study in China. Frontiers in Oncology. 14. 1279733–1279733. 3 indexed citations

Lin, Jing‐Ping, Yuanmei Chen, Noriyuki Hirahara, et al.. (2023). Combination of neutrophil-to-lymphocyte ratio and albumin concentration to predict the prognosis of esophageal squamous cell cancer patients undergoing esophagectomy. Journal of Thoracic Disease. 15(4). 2224–2232. 4 indexed citations

Cai, Yingjie, et al.. (2023). Nomogram-based prediction model for survival of COVID-19 patients: A clinical study. Heliyon. 9(9). e20137–e20137. 2 indexed citations

Lin, Jing‐Ping, et al.. (2023). Lipofuscin-like autofluorescence within microglia and its impact on studying microglial engulfment. Nature Communications. 14(1). 7060–7060. 24 indexed citations

Lin, Jing‐Ping, Hannah Kelly, Yeajin Song, et al.. (2022). Transcriptomic architecture of nuclei in the marmoset CNS. Nature Communications. 13(1). 5531–5531. 5 indexed citations

Absinta, Martina, Dragan Maric, Marjan Gharagozloo, et al.. (2021). A lymphocyte–microglia–astrocyte axis in chronic active multiple sclerosis. Nature. 597(7878). 709–714. 445 indexed citations breakdown →

Huang, Jieping, Wei Yu, Zhiyong Zhao, et al.. (2021). Combination of albumin concentration and neutrophil-to-lymphocyte ratio for predicting overall survival of patients with non-small cell lung cancer. Journal of Thoracic Disease. 13(9). 5508–5516. 9 indexed citations

Steagall, Wendy K., Gustavo Pacheco–Rodriguez, Connie G. Glasgow, et al.. (2013). Osteoprotegerin Contributes to the Metastatic Potential of Cells with a Dysfunctional TSC2 Tumor-Suppressor Gene. American Journal Of Pathology. 183(3). 938–950. 7 indexed citations

10.

Chen, Kuen‐Feng, Jing‐Ping Lin, Chung-Wai Shiau, et al.. (2012). Inhibition of Bcl-2 improves effect of LCL161, a SMAC mimetic, in hepatocellular carcinoma cells. Biochemical Pharmacology. 84(3). 268–277. 51 indexed citations

11.

Cai, Xiong, Gustavo Pacheco–Rodriguez, Qingyuan Fan, et al.. (2010). Phenotypic Characterization of Disseminated Cells with TSC2 Loss of Heterozygosity in Patients with Lymphangioleiomyomatosis. American Journal of Respiratory and Critical Care Medicine. 182(11). 1410–1418. 46 indexed citations

12.

Lin, Jing‐Ping, Gang Zheng, Jungnam Joo, & L. Adrienne Cupples. (2010). Genome-Wide Linkage and Association Scans for Quantitative Trait Loci of Serum Lactate Dehydrogenase—The Framingham Heart Study. PubMed. 2(1). 905237–905237. 4 indexed citations

13.

Pacheco–Rodriguez, Gustavo, Fumiyuki Kumaki, Wendy K. Steagall, et al.. (2009). Chemokine-Enhanced Chemotaxis of Lymphangioleiomyomatosis Cells with Mutations in the Tumor Suppressor TSC2 Gene. The Journal of Immunology. 182(3). 1270–1277. 45 indexed citations

14.

Steagall, Wendy K., Connie G. Glasgow, Olanda Hathaway, et al.. (2007). Genetic and morphologic determinants of pneumothorax in lymphangioleiomyomatosis. American Journal of Physiology-Lung Cellular and Molecular Physiology. 293(3). L800–L808. 43 indexed citations

15.

Steagall, Wendy K., Connie G. Glasgow, Mary Ehrmantraut, et al.. (2007). Beta-2-adrenergic receptor polymorphisms in cystic fibrosis. Pharmacogenetics and Genomics. 17(6). 425–430. 11 indexed citations

16.

Zheng, Gang, Jungnam Joo, Jing‐Ping Lin, et al.. (2007). Robust ranks of true associations in genome-wide case-control association studies. BMC Proceedings. 1(S1). S165–S165. 13 indexed citations

17.

Tian, Xin, Jungnam Joo, Gang Zheng, & Jing‐Ping Lin. (2005). Robust trend tests for genetic association in case-control studies using family data. BMC Genetics. 6(S1). S107–S107. 8 indexed citations

18.

Lin, Jing‐Ping, L. Adrienne Cupples, Peter W.F. Wilson, Nancy L. Heard‐Costa, & Christopher J. O’Donnell. (2003). Evidence for a Gene Influencing Serum Bilirubin on Chromosome 2q Telomere: A Genomewide Scan in the Framingham Study. The American Journal of Human Genetics. 72(4). 1029–1034. 42 indexed citations

19.

Kovach, Margaret J., Jing‐Ping Lin, Simeon A. Boyadjiev, et al.. (1999). A Unique Point Mutation in the PMP22 Gene Is Associated with Charcot-Marie-Tooth Disease and Deafness. The American Journal of Human Genetics. 64(6). 1580–1593. 56 indexed citations

20.

Lin, Jing‐Ping, William W. Scott, Stanley R. Pillemer, et al.. (1998). Rheumatoid arthritis in the Pima Indians: The intersection of epidemiologic, demographic, and genealogic data. Arthritis & Rheumatism. 41(8). 1464–1469. 21 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.

Explore authors with similar magnitude of impact