Jean Eastman

442 total citations
9 papers, 383 citations indexed

About

Jean Eastman is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Jean Eastman has authored 9 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Physiology. Recurrent topics in Jean Eastman's work include Pediatric health and respiratory diseases (2 papers), Cystic Fibrosis Research Advances (2 papers) and NF-κB Signaling Pathways (2 papers). Jean Eastman is often cited by papers focused on Pediatric health and respiratory diseases (2 papers), Cystic Fibrosis Research Advances (2 papers) and NF-κB Signaling Pathways (2 papers). Jean Eastman collaborates with scholars based in United States, Netherlands and Canada. Jean Eastman's co-authors include Peizhong Zheng, Scott Vande Pol, Sanjay W. Pimplikar, Terrone L. Rosenberry, Carlos Červeñanský, Pamela B. Davis, David P. Nichols, Tracey L. Bonfield, Samuel Shank and Assem Ziady and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Infection and Immunity.

In The Last Decade

Jean Eastman

9 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean Eastman United States	7	217	99	92	92	65	9	383
Yuanming Lu China	8	262 1.2×	50 0.5×	24 0.3×	31 0.3×	62 1.0×	16	391
Shu Liu China	8	178 0.8×	26 0.3×	35 0.4×	16 0.2×	67 1.0×	15	342
Rayala Swetha India	12	201 0.9×	39 0.4×	86 0.9×	19 0.2×	83 1.3×	18	405
Marnie A. Higgins United States	6	183 0.8×	119 1.2×	68 0.7×	12 0.1×	59 0.9×	7	364
Anupama Chandramouli United States	14	449 2.1×	53 0.5×	95 1.0×	27 0.3×	9 0.1×	17	653
Kay Hoong Chow United States	9	172 0.8×	64 0.6×	38 0.4×	29 0.3×	23 0.4×	14	335
Zuzana Solárová Slovakia	10	155 0.7×	31 0.3×	32 0.3×	56 0.6×	9 0.1×	22	424
Yin‐Jeh Tzeng Taiwan	13	198 0.9×	78 0.8×	22 0.2×	17 0.2×	24 0.4×	16	408
Heather A. Bullock United States	8	226 1.0×	15 0.2×	46 0.5×	23 0.3×	13 0.2×	9	387
Tatsuya Yano Japan	11	210 1.0×	20 0.2×	60 0.7×	16 0.2×	13 0.2×	27	388

Countries citing papers authored by Jean Eastman

Since Specialization

Citations

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

Fields of papers citing papers by Jean Eastman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Eastman

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

All Works

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9 of 9 papers shown

Eastman, Jean, et al.. (2021). Classifying molecular phenotypes of G6PC variants for pathogenic properties and to guide therapeutic development. JIMD Reports. 60(1). 56–66. 4 indexed citations

Hsu, Daniel P., Patricia R. Taylor, Dave Fletcher, et al.. (2016). Interleukin-17 Pathophysiology and Therapeutic Intervention in Cystic Fibrosis Lung Infection and Inflammation. Infection and Immunity. 84(9). 2410–2421. 44 indexed citations

Ramachandran, Shyam, Philip H. Karp, Mark A. Behlke, et al.. (2013). Symposium Session Summaries. Pediatric Pulmonology. 48(S36). 103–206. 1 indexed citations

Saadane, Aicha, Jean Eastman, Melvin Berger, & Tracey L. Bonfield. (2011). Parthenolide inhibits ERK and AP-1 which are dysregulated and contribute to excessive IL-8 expression and secretion in cystic fibrosis cells. Journal of Inflammation. 8(1). 26–26. 33 indexed citations

Nichols, David P., Assem Ziady, Samuel Shank, Jean Eastman, & Pamela B. Davis. (2009). The triterpenoid CDDO limits inflammation in preclinical models of cystic fibrosis lung disease. American Journal of Physiology-Lung Cellular and Molecular Physiology. 297(5). L828–L836. 40 indexed citations

Perez, Aura, et al.. (2008). Peroxisome proliferator-activated receptor-γ in cystic fibrosis lung epithelium. American Journal of Physiology-Lung Cellular and Molecular Physiology. 295(2). L303–L313. 41 indexed citations

Eastman, Jean, et al.. (2001). Single chain Fv: a ligand in receptor-mediated gene delivery. Gene Therapy. 8(8). 586–592. 15 indexed citations

Zheng, Peizhong, Jean Eastman, Scott Vande Pol, & Sanjay W. Pimplikar. (1998). PAT1, a microtubule-interacting protein, recognizes the basolateral sorting signal of amyloid precursor protein. Proceedings of the National Academy of Sciences. 95(25). 14745–14750. 110 indexed citations

Eastman, Jean, et al.. (1995). Fasciculin 2 Binds to the Peripheral Site on Acetylcholinesterase and Inhibits Substrate Hydrolysis by Slowing a Step Involving Proton Transfer during Enzyme Acylation. Journal of Biological Chemistry. 270(34). 19694–19701. 95 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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