Jason H. Chen

2.1k total citations · 1 hit paper
8 papers, 1.7k citations indexed

About

Jason H. Chen is a scholar working on Infectious Diseases, Surgery and Molecular Biology. According to data from OpenAlex, Jason H. Chen has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Jason H. Chen's work include Skin Protection and Aging (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Blood properties and coagulation (1 paper). Jason H. Chen is often cited by papers focused on Skin Protection and Aging (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Blood properties and coagulation (1 paper). Jason H. Chen collaborates with scholars based in United States. Jason H. Chen's co-authors include Binh An Diep, George F. Sensabaugh, Felice Lin, Heather A. Carleton, Françoise Perdreau‐Remington, Emmanuel F. Mongodin, Matthew G. Davidson, Steven R. Gill, Christopher J. Graber and Loren G. Miller and has published in prestigious journals such as The Lancet, Annals of Internal Medicine and eLife.

In The Last Decade

Jason H. Chen

8 papers receiving 1.6k 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.

Complete genome sequence of USA300, an epidemic clone of community-acquired meticillin-resistant Staphylococcus aureus

2006 1.3k citations Binh An Diep, Steven R. Gill et al. The Lancet profile →

Peers

Jason H. Chen

ID

MB

CB

PHEOH

EPIDE

Felice Lin United States

Susan V. Snijders Netherlands

Kati Seidl Switzerland

Keiko Okuma Japan

Françoise Forey France

Oana Dumitrescu France

Mian Cai United States

Jeremiah G. Johnson United States

Warren B. Grubb Australia

Harumi Yuzawa Japan

Felice Lin United States

Jason H. Chen

1.3k ×1.0

ID

929 ×1.0

MB

550 ×1.0

CB

305 ×1.0

PHEOH

171 ×0.9

EPIDE

Citations per year, relative to Jason H. Chen Jason H. Chen (= 1×) peers Felice Lin

Countries citing papers authored by Jason H. Chen

Since Specialization

Citations

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

Fields of papers citing papers by Jason H. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason H. Chen. 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 Jason H. Chen. The network helps show where Jason H. Chen may publish in the future.

Co-authorship network of co-authors of Jason H. Chen

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

All Works

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8 of 8 papers shown

1.

Weatherford, Eric T., Sarah H. Bjorkman, Jason H. Chen, et al.. (2023). GDF15 is required for cold-induced thermogenesis and contributes to improved systemic metabolic health following loss of OPA1 in brown adipocytes. eLife. 12. 7 indexed citations

2.

Carney, Bonnie C, Jason H. Chen, Abdulnaser Alkhalil, et al.. (2019). Reactive Oxygen Species Scavenging Potential Contributes to Hypertrophic Scar Formation. Journal of Surgical Research. 244. 312–323. 22 indexed citations

3.

Chen, Jason H., et al.. (2018). Patient and social characteristics contributing to disparities in outcomes after burn injury: application of database research to minority health in the burn population. The American Journal of Surgery. 216(5). 863–868. 19 indexed citations

4.

Carney, Bonnie C, Jason H. Chen, Abdulnaser Alkhalil, et al.. (2018). Pigmentation Diathesis of Hypertrophic Scar: An Examination of Known Signaling Pathways to Elucidate the Molecular Pathophysiology of Injury-Related Dyschromia. Journal of Burn Care & Research. 40(1). 58–71. 26 indexed citations

5.

Chen, Jason H., et al.. (2017). A National Perspective on ECMO Utilization Use in Patients with Burn Injury. Journal of Burn Care & Research. 39(1). 10–14. 11 indexed citations

6.

Brummel‐Ziedins, Kathleen E., et al.. (2017). Reference ranges for rotational thromboelastometry in male Sprague Dawley rats. Thrombosis Journal. 15(1). 31–31. 8 indexed citations

7.

Diep, Binh An, Henry F. Chambers, Christopher J. Graber, et al.. (2008). Emergence of Multidrug-Resistant, Community-Associated, Methicillin-Resistant Staphylococcus aureus Clone USA300 in Men Who Have Sex with Men. Annals of Internal Medicine. 148(4). 249–257. 312 indexed citations

8.

Diep, Binh An, Steven R. Gill, Jason H. Chen, et al.. (2006). Complete genome sequence of USA300, an epidemic clone of community-acquired meticillin-resistant Staphylococcus aureus. The Lancet. 367(9512). 731–739. 1284 indexed citations breakdown →

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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