Ryan Pekson

491 total citations
11 papers, 169 citations indexed

About

Ryan Pekson is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Ryan Pekson has authored 11 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in Ryan Pekson's work include Preterm Birth and Chorioamnionitis (5 papers), Neonatal Respiratory Health Research (3 papers) and Reproductive System and Pregnancy (2 papers). Ryan Pekson is often cited by papers focused on Preterm Birth and Chorioamnionitis (5 papers), Neonatal Respiratory Health Research (3 papers) and Reproductive System and Pregnancy (2 papers). Ryan Pekson collaborates with scholars based in United States. Ryan Pekson's co-authors include Richard N. Kitsis, Sandra E. Reznik, J Axelrod, Charles R. Ashby, Swapna Munnangi, Brent R. Stockwell, Dulguun Amgalan, Jae‐Hoon Lee, Yisang Yoon and Fereshteh Zandkarimi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and American Journal Of Pathology.

In The Last Decade

Ryan Pekson

11 papers receiving 166 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Pekson United States 8 62 55 40 30 24 11 169
Shaobin Wei China 9 51 0.8× 32 0.6× 40 1.0× 18 0.6× 26 1.1× 33 273
Eva Márquez Spain 10 84 1.4× 49 0.9× 21 0.5× 20 0.7× 34 1.4× 18 286
Athina Trakaki Austria 8 53 0.9× 49 0.9× 47 1.2× 11 0.4× 13 0.5× 9 239
Deyse Cristina Madruga Carvalho Brazil 9 98 1.6× 27 0.5× 88 2.2× 32 1.1× 31 1.3× 19 283
Jie Tan China 6 97 1.6× 37 0.7× 21 0.5× 15 0.5× 11 0.5× 11 343
Adrianne L. Stefanski United States 9 111 1.8× 40 0.7× 70 1.8× 66 2.2× 10 0.4× 12 269
Guadalupe Suárez Argentina 7 83 1.3× 42 0.8× 65 1.6× 25 0.8× 19 0.8× 9 277
Yulia A. Nasykhova Russia 11 87 1.4× 17 0.3× 21 0.5× 11 0.4× 31 1.3× 32 240
Éssia de Almeida Lima Brazil 8 83 1.3× 24 0.4× 73 1.8× 30 1.0× 14 0.6× 14 238
Sarah Kang United States 4 195 3.1× 53 1.0× 98 2.5× 32 1.1× 11 0.5× 5 309

Countries citing papers authored by Ryan Pekson

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Pekson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Pekson

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

All Works

11 of 11 papers shown
1.
Day, Wesley, et al.. (2025). GPT-4 generated answer rationales to multiple choice assessment questions in undergraduate medical education. BMC Medical Education. 25(1). 333–333. 4 indexed citations
2.
Zandkarimi, Fereshteh, Jae‐Hoon Lee, J Axelrod, et al.. (2024). OPA1 promotes ferroptosis by augmenting mitochondrial ROS and suppressing an integrated stress response. Molecular Cell. 84(16). 3098–3114.e6. 43 indexed citations
3.
Pekson, Ryan, J Axelrod, Dongze Qin, et al.. (2023). The mitochondrial ATP synthase is a negative regulator of the mitochondrial permeability transition pore. Proceedings of the National Academy of Sciences. 120(51). e2303713120–e2303713120. 17 indexed citations
4.
Qin, Dongze, Anis Hanna, Jaehoon Lee, et al.. (2023). BAK contributes critically to necrosis and infarct generation during reperfused myocardial infarction. Journal of Molecular and Cellular Cardiology. 184. 1–12. 3 indexed citations
5.
Koya, Jagadish, et al.. (2022). N,N-Dimethylformamide Delays LPS-Induced Preterm Birth in a Murine Model by Suppressing the Inflammatory Response. Reproductive Sciences. 29(10). 2894–2907. 1 indexed citations
6.
Williams, Lyda, Emmanuel S. Burgos, Patricia Vuguin, et al.. (2019). N-Acetylcysteine Resolves Placental Inflammatory-Vasculopathic Changes in Mice Consuming a High-Fat Diet. American Journal Of Pathology. 189(11). 2246–2257. 11 indexed citations
8.
Amgalan, Dulguun, Ryan Pekson, & Richard N. Kitsis. (2017). Troponin Release Following Brief Myocardial Ischemia. JACC Basic to Translational Science. 2(2). 118–121. 15 indexed citations
10.
Vyas, Vibhuti, et al.. (2015). Inhibition of Sphingosine Kinase Prevents Lipopolysaccharide-Induced Preterm Birth and Suppresses Proinflammatory Responses in a Murine Model. American Journal Of Pathology. 185(3). 862–869. 20 indexed citations
11.
Ashby, Charles R., Ryan Pekson, Ravikumar Sitapara, et al.. (2013). N,N-Dimethylacetamide Regulates the Proinflammatory Response Associated with Endotoxin and Prevents Preterm Birth. American Journal Of Pathology. 183(2). 422–430. 25 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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