David Fooshee

638 total citations
12 papers, 426 citations indexed

About

David Fooshee is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics. According to data from OpenAlex, David Fooshee has authored 12 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Computational Theory and Mathematics. Recurrent topics in David Fooshee's work include Medical Imaging Techniques and Applications (2 papers), Atomic and Subatomic Physics Research (2 papers) and Machine Learning in Materials Science (2 papers). David Fooshee is often cited by papers focused on Medical Imaging Techniques and Applications (2 papers), Atomic and Subatomic Physics Research (2 papers) and Machine Learning in Materials Science (2 papers). David Fooshee collaborates with scholars based in United States, France and South Korea. David Fooshee's co-authors include Pierre Baldi, Frances Liu, Eugene S. Gutman, David L. Van Vranken, Gregor Urban, Parag J. Parikh, Wei Lü, Jeffrey D. Bradley, Michelle M. Nystrom and Daniel A. Low and has published in prestigious journals such as Environmental Science & Technology, Clinical Cancer Research and Medical Physics.

In The Last Decade

David Fooshee

11 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Fooshee United States	9	129	126	124	88	70	12	426
Zhixiang Wang China	15	68 0.5×	219 1.7×	49 0.4×	68 0.8×	28 0.4×	58	733
Lusheng Chen China	12	63 0.5×	46 0.4×	27 0.2×	80 0.9×	25 0.4×	57	634
Ersin Bayram United States	14	28 0.2×	57 0.5×	63 0.5×	121 1.4×	36 0.5×	34	729
Sam Ellis United Kingdom	11	45 0.3×	60 0.5×	22 0.2×	19 0.2×	76 1.1×	28	474
Bernhard Gruber Austria	8	55 0.4×	74 0.6×	57 0.5×	27 0.3×	7 0.1×	17	329
F. Diblen Netherlands	7	22 0.2×	171 1.4×	43 0.3×	83 0.9×	84 1.2×	23	488
Wei Cen China	16	115 0.9×	209 1.7×	18 0.1×	180 2.0×	5 0.1×	65	915
Florian Auer Germany	14	12 0.1×	290 2.3×	43 0.3×	176 2.0×	27 0.4×	26	1.1k
R. J. Maxwell United Kingdom	15	95 0.7×	244 1.9×	10 0.1×	41 0.5×	11 0.2×	27	747
Sangwoo Park South Korea	15	85 0.7×	210 1.7×	8 0.1×	44 0.5×	27 0.4×	42	728

Countries citing papers authored by David Fooshee

Since Specialization

Citations

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

Fields of papers citing papers by David Fooshee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Fooshee

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

All Works

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12 of 12 papers shown

Rostami, Zahra, David Fooshee, Gunnar Carlsson, & Shankar Subramaniam. (2025). Topological Data Analysis Reveals a Subgroup of Luminal B Breast Cancer. IEEE Open Journal of Engineering in Medicine and Biology. 6. 465–471.

Fooshee, David, Eugene S. Gutman, Gregor Urban, et al.. (2017). Deep learning for chemical reaction prediction. Molecular Systems Design & Engineering. 3(3). 442–452. 148 indexed citations

Fooshee, David, et al.. (2015). Accurate and efficient target prediction using a potency-sensitive influence-relevance voter. Journal of Cheminformatics. 7(1). 63–63. 16 indexed citations

Fooshee, David, Paige K. Aiona, Alexander Laskin, et al.. (2015). Atmospheric Oxidation of Squalene: Molecular Study Using COBRA Modeling and High-Resolution Mass Spectrometry. Environmental Science & Technology. 49(22). 13304–13313. 28 indexed citations

Hah, J. Hun, Mei Zhao, Curtis R. Pickering, et al.. (2013). HRAS mutations and resistance to the epidermal growth factor receptor tyrosine kinase inhibitor erlotinib in head and neck squamous cell carcinoma cells. Head & Neck. 36(11). 1547–1554. 30 indexed citations

Fooshee, David, A. Andronico, & Pierre Baldi. (2013). ReactionMap: An Efficient Atom-Mapping Algorithm for Chemical Reactions. Journal of Chemical Information and Modeling. 53(11). 2812–2819. 28 indexed citations

Fooshee, David, Tran B. Nguyen, Sergey A. Nizkorodov, et al.. (2012). COBRA: A Computational Brewing Application for Predicting the Molecular Composition of Organic Aerosols. Environmental Science & Technology. 46(11). 6048–6055. 6 indexed citations

Sano, Daisuke, David Fooshee, Mei Zhao, et al.. (2010). Targeted molecular therapy of head and neck squamous cell carcinoma with the tyrosine kinase inhibitor vandetanib in a mouse model. Head & Neck. 33(3). 349–358. 20 indexed citations

Younes, Maher N., Seung Won Kim, David Fooshee, et al.. (2007). The Tyrosine Kinase Inhibitor, AZD2171, Inhibits Vascular Endothelial Growth Factor Receptor Signaling and Growth of Anaplastic Thyroid Cancer in an Orthotopic Nude Mouse Model. Clinical Cancer Research. 13(15). 4519–4527. 36 indexed citations

10.

Lü, Wei, Michelle M. Nystrom, Parag J. Parikh, et al.. (2006). SU‐FF‐J‐04: A Computerized Method for Peak and Valley Detection in Respiratory Waveforms Without Flow Measurement. Medical Physics. 33(6Part4). 2021–2021. 1 indexed citations

11.

Lü, Wei, Michelle M. Nystrom, Parag J. Parikh, et al.. (2006). A semi‐automatic method for peak and valley detection in free‐breathing respiratory waveforms. Medical Physics. 33(10). 3634–3636. 61 indexed citations

12.

Lü, Wei, Daniel A. Low, Parag J. Parikh, et al.. (2005). Comparison of spirometry and abdominal height as four-dimensional computed tomography metrics in lung. Medical Physics. 32(7Part1). 2351–2357. 52 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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