Jonathan Welt

451 total citations
9 papers, 303 citations indexed

About

Jonathan Welt is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Molecular Biology. According to data from OpenAlex, Jonathan Welt has authored 9 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Jonathan Welt's work include Machine Learning in Healthcare (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Traumatic Brain Injury Research (2 papers). Jonathan Welt is often cited by papers focused on Machine Learning in Healthcare (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Traumatic Brain Injury Research (2 papers). Jonathan Welt collaborates with scholars based in United States, Germany and Canada. Jonathan Welt's co-authors include Yeran Li, Eric T. Carlson, Franck Dernoncourt, Edward T. Moseley, Leo Anthony Celi, Joy T. Wu, Patrick D. Tyler, Sebastian Gehrmann, John Foote and Benjamin J. Vakoc and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Jonathan Welt

9 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Welt United States 6 126 85 68 42 30 9 303
Qiyong Guo China 12 38 0.3× 65 0.8× 70 1.0× 35 0.8× 40 1.3× 43 406
Lianting Hu China 11 74 0.6× 41 0.5× 40 0.6× 17 0.4× 28 0.9× 34 354
Adrienne Kline Canada 8 100 0.8× 53 0.6× 36 0.5× 41 1.0× 43 1.4× 20 415
Yiming Ding United Kingdom 6 136 1.1× 150 1.8× 26 0.4× 52 1.2× 19 0.6× 8 440
Gergő Bohner United Kingdom 5 103 0.8× 78 0.9× 384 5.6× 40 1.0× 18 0.6× 9 769
Ming Jack Po United States 6 34 0.3× 73 0.9× 85 1.3× 11 0.3× 71 2.4× 11 397
Meghan R. Hutch United States 5 133 1.1× 77 0.9× 35 0.5× 52 1.2× 66 2.2× 11 374
Michael E. Zapadka United States 10 104 0.8× 210 2.5× 65 1.0× 10 0.2× 32 1.1× 20 489
Yaara Goldschmidt Israel 9 133 1.1× 95 1.1× 54 0.8× 23 0.5× 41 1.4× 15 339
Zhuoyuan Li China 6 101 0.8× 121 1.4× 20 0.3× 12 0.3× 7 0.2× 12 301

Countries citing papers authored by Jonathan Welt

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Welt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Welt

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

All Works

9 of 9 papers shown
1.
Chan, Suk‐Tak, Nathaniel D. Mercaldo, Maria Gabriela Figueiró Longo, et al.. (2024). Effects of Low-Level Light Therapy on Resting-State Connectivity Following Moderate Traumatic Brain Injury: Secondary Analyses of a Double-blinded Placebo-controlled Study. Radiology. 311(2). e230999–e230999. 5 indexed citations
2.
Longo, Maria Gabriela Figueiró, Can Ozan Tan, Suk‐Tak Chan, et al.. (2020). Effect of Transcranial Low-Level Light Therapy vs Sham Therapy Among Patients With Moderate Traumatic Brain Injury. JAMA Network Open. 3(9). e2017337–e2017337. 59 indexed citations
3.
Nam, Ahhyun S., Isabel Chico‐Calero, Martin Villiger, et al.. (2018). Wide-Field Functional Microscopy of Peripheral Nerve Injury and Regeneration. Scientific Reports. 8(1). 14004–14004. 25 indexed citations
4.
Gehrmann, Sebastian, Franck Dernoncourt, Yeran Li, et al.. (2018). Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives. PLoS ONE. 13(2). e0192360–e0192360. 146 indexed citations
5.
Wu, Joy T., Franck Dernoncourt, Sebastian Gehrmann, et al.. (2017). Behind the scenes: A medical natural language processing project. International Journal of Medical Informatics. 112. 68–73. 26 indexed citations
6.
Welt, Jonathan, et al.. (2016). Specificity and biologic activities of novel anti-membrane IgM antibodies. Oncotarget. 7(46). 74701–74723. 1 indexed citations
7.
Welt, Sydney, et al.. (2014). Antibody-mediated modulation of the IgM B-cell receptor (BCR) expression and signaling.. Journal of Clinical Oncology. 32(15_suppl). 3050–3050. 1 indexed citations
8.
Xia, Wei, et al.. (2010). Fabrication of Cd1−xZnxS films with controllable zinc doping using a vapor zinc chloride treatment. Solar Energy Materials and Solar Cells. 94(12). 2113–2118. 21 indexed citations
9.
Cuntz, Ulrich, et al.. (1999). [Determination of subjective burden from chronic inflammatory bowel disease and its psychosocial consequences. Results from a study of 200 patients].. PubMed. 49(12). 494–500. 19 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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