Seth Schobel

4.5k total citations · 1 hit paper
44 papers, 1.4k citations indexed

About

Seth Schobel is a scholar working on Epidemiology, Surgery and Emergency Medicine. According to data from OpenAlex, Seth Schobel has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 12 papers in Surgery and 11 papers in Emergency Medicine. Recurrent topics in Seth Schobel's work include Trauma and Emergency Care Studies (10 papers), Sepsis Diagnosis and Treatment (8 papers) and Respiratory viral infections research (6 papers). Seth Schobel is often cited by papers focused on Trauma and Emergency Care Studies (10 papers), Sepsis Diagnosis and Treatment (8 papers) and Respiratory viral infections research (6 papers). Seth Schobel collaborates with scholars based in United States, United Kingdom and Belgium. Seth Schobel's co-authors include Vivek Krishnakumar, Françoise Thibaud‐Nissen, Chia‐Yi Cheng, Agnes P. Chan, Christopher D. Town, Eric A. Elster, Suman R. Das, Rebecca Halpin, Larry J. Anderson and Martin L. Moore and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Virology.

In The Last Decade

Seth Schobel

43 papers receiving 1.3k 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.

Araport11: a complete reannotation of the Arabidopsis thaliana reference genome

2016 804 citations Chia‐Yi Cheng, Vivek Krishnakumar et al. The Plant Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seth Schobel United States	13	669	583	289	110	105	44	1.4k
Johanna Rintahaka Finland	19	620 0.9×	83 0.1×	303 1.0×	102 0.9×	148 1.4×	20	1.4k
Grace J. Kim United States	17	597 0.9×	343 0.6×	140 0.5×	137 1.2×	245 2.3×	26	1.6k
Maria Tsompana United States	16	993 1.5×	211 0.4×	507 1.8×	60 0.5×	59 0.6×	28	1.7k
Olivier Leroy France	18	737 1.1×	424 0.7×	441 1.5×	101 0.9×	540 5.1×	26	1.7k
Abdul Basit Pakistan	16	293 0.4×	102 0.2×	118 0.4×	125 1.1×	197 1.9×	39	1.1k
Alberto J. León Canada	28	480 0.7×	1.0k 1.8×	522 1.8×	45 0.4×	213 2.0×	85	2.1k
Maojun Liu China	20	216 0.3×	134 0.2×	247 0.9×	64 0.6×	119 1.1×	79	1.1k
Eliza B. Wolfson United Kingdom	11	333 0.5×	62 0.1×	235 0.8×	109 1.0×	128 1.2×	12	1.3k
Yongtao Li China	18	267 0.4×	287 0.5×	265 0.9×	73 0.7×	219 2.1×	46	1.2k
Wenxin Wu United States	17	276 0.4×	54 0.1×	402 1.4×	104 0.9×	132 1.3×	44	900

Countries citing papers authored by Seth Schobel

Since Specialization

Citations

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

Fields of papers citing papers by Seth Schobel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seth Schobel

This figure shows the co-authorship network connecting the top 25 collaborators of Seth Schobel. A scholar is included among the top collaborators of Seth Schobel 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 Seth Schobel. Seth Schobel 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

Kimbrel, Jeffrey A., James B. Thissen, Felipe Lisboa, et al.. (2025). High-quality Acinetobacter genomes recovered from combat wounds via metagenomic sequencing resemble cultured isolate genomes. Microbiology Spectrum. 14(1). e0187625–e0187625.

Schobel, Seth, Eric R. Gann, Scott F. Grey, et al.. (2024). The influence of microbial colonization on inflammatory versus pro-healing trajectories in combat extremity wounds. Scientific Reports. 14(1). 5006–5006. 3 indexed citations

Huang, Benjamin J., Daniela Salinas, Cody D. Schlaff, et al.. (2024). Systemic inflammation following traumatic injury and its impact on neuroinflammatory gene expression in the rodent brain. Journal of Neuroinflammation. 21(1). 211–211. 3 indexed citations

Zamora, Rubén, Jonathan A. Forsberg, Scott F. Grey, et al.. (2023). Central role for neurally dysregulated IL-17A in dynamic networks of systemic and local inflammation in combat casualties. Scientific Reports. 13(1). 6618–6618. 3 indexed citations

Gupta, Saransh, Felipe Lisboa, Seth Schobel, et al.. (2023). ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports. BMC Medical Informatics and Decision Making. 23(1). 262–262. 3 indexed citations

Gelbard, Rondi B., Seth Schobel, Linda Stempora, et al.. (2023). A random forest model using flow cytometry data identifies pulmonary infection after thoracic injury. The Journal of Trauma: Injury, Infection, and Critical Care. 95(1). 39–46. 3 indexed citations

Vicente, Diego, Seth Schobel, Simone Anfossi, et al.. (2022). Cellular microRNAs correlate with clinical parameters in multiple injury patients. The Journal of Trauma: Injury, Infection, and Critical Care. 93(4). 427–438. 4 indexed citations

Moris, Dimitrios, Ricardo Henao, Linda Stempora, et al.. (2022). Multidimensional machine learning models predicting outcomes after trauma. Surgery. 172(6). 1851–1859. 3 indexed citations

Crum, Raphael J., Scott A. Johnson, Peng Jiang, et al.. (2022). Transcriptomic, Proteomic, and Morphologic Characterization of Healing in Volumetric Muscle Loss. Tissue Engineering Part A. 28(23-24). 941–957. 8 indexed citations

10.

Avila-Herrera, Aram, James B. Thissen, Seth Schobel, et al.. (2022). Metagenomic features of bioburden serve as outcome indicators in combat extremity wounds. Scientific Reports. 12(1). 13816–13816. 5 indexed citations

11.

Gelbard, Rondi B., Seth Schobel, Linda Stempora, et al.. (2021). An integrative model using flow cytometry identifies nosocomial infection after trauma. The Journal of Trauma: Injury, Infection, and Critical Care. 91(1). 47–53. 3 indexed citations

12.

Gerardo, Charles J., Elizabeth Silvius, Seth Schobel, et al.. (2021). Association of a Network of Immunologic Response and Clinical Features With the Functional Recovery From Crotalinae Snakebite Envenoming. Frontiers in Immunology. 12. 628113–628113. 1 indexed citations

13.

Dente, Christopher J., Michael J. Mina, Bryan C. Morse, et al.. (2021). Predicting the need for massive transfusion: Prospective validation of a smartphone-based clinical decision support tool. Surgery. 170(5). 1574–1580. 10 indexed citations

14.

Schobel, Seth, Felipe Lisboa, Vivek Khatri, et al.. (2020). Clinical risk factors and inflammatory biomarkers of post-traumatic acute kidney injury in combat patients. Surgery. 168(4). 662–670. 8 indexed citations

15.

Gelbard, Rondi B., Seth Schobel, Vivek Khatri, et al.. (2019). Random forest modeling can predict infectious complications following trauma laparotomy. The Journal of Trauma: Injury, Infection, and Critical Care. 87(5). 1125–1132. 17 indexed citations

16.

Bradley, Matthew J., Christopher J. Dente, Vivek Khatri, et al.. (2019). Advanced Modeling to Predict Pneumonia in Combat Trauma Patients. World Journal of Surgery. 44(7). 2255–2262. 12 indexed citations

17.

Rosas‐Salazar, Christian, Meghan H. Shilts, Andrey Tovchigrechko, et al.. (2018). Nasopharyngeal Lactobacillus is associated with a reduced risk of childhood wheezing illnesses following acute respiratory syncytial virus infection in infancy. Journal of Allergy and Clinical Immunology. 142(5). 1447–1456.e9. 75 indexed citations

18.

Dente, Christopher J., Matthew J. Bradley, Seth Schobel, et al.. (2017). Towards precision medicine. The Journal of Trauma: Injury, Infection, and Critical Care. 83(4). 609–616. 17 indexed citations

19.

Cheng, Chia‐Yi, Vivek Krishnakumar, Agnes P. Chan, et al.. (2016). Araport11: a complete reannotation of the Arabidopsis thaliana reference genome. The Plant Journal. 89(4). 789–804. 804 indexed citations breakdown →

20.

Schobel, Seth, Karla M. Stucker, Martin L. Moore, et al.. (2016). Respiratory Syncytial Virus whole-genome sequencing identifies convergent evolution of sequence duplication in the C-terminus of the G gene. Scientific Reports. 6(1). 26311–26311. 72 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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