Jeremy Fitzpatrick

588 total citations
14 papers, 297 citations indexed

About

Jeremy Fitzpatrick is a scholar working on Small Animals, Computational Theory and Mathematics and Dermatology. According to data from OpenAlex, Jeremy Fitzpatrick has authored 14 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Small Animals, 5 papers in Computational Theory and Mathematics and 4 papers in Dermatology. Recurrent topics in Jeremy Fitzpatrick's work include Computational Drug Discovery Methods (5 papers), Animal testing and alternatives (5 papers) and Contact Dermatitis and Allergies (4 papers). Jeremy Fitzpatrick is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Animal testing and alternatives (5 papers) and Contact Dermatitis and Allergies (4 papers). Jeremy Fitzpatrick collaborates with scholars based in United States, United Kingdom and Denmark. Jeremy Fitzpatrick's co-authors include Grace Patlewicz, David W. Roberts, David Allen, Agnes L. Karmaus, Nicole Kleinstreuer, Dale F. Mierke, Judy Strickland, Kamel Mansouri, Warren Casey and Bevin E. Blake and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Jeremy Fitzpatrick

13 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremy Fitzpatrick United States 9 117 89 88 57 48 14 297
Milen Todorov Bulgaria 11 163 1.4× 82 0.9× 44 0.5× 27 0.5× 68 1.4× 22 320
Tatyana Y. Doktorova Belgium 13 62 0.5× 213 2.4× 56 0.6× 23 0.4× 87 1.8× 22 389
Joe Reynolds United Kingdom 8 51 0.4× 43 0.5× 77 0.9× 31 0.5× 56 1.2× 13 185
Sophie Malcomber United Kingdom 8 54 0.5× 104 1.2× 63 0.7× 10 0.2× 71 1.5× 16 326
Robert W. Rees United Kingdom 9 40 0.3× 152 1.7× 77 0.9× 14 0.2× 95 2.0× 17 343
Jack Amburgey United States 6 60 0.5× 59 0.7× 43 0.5× 9 0.2× 53 1.1× 10 318
Toshihiko Kasahara Japan 13 30 0.3× 68 0.8× 141 1.6× 306 5.4× 30 0.6× 34 456
Camilla K. Smith United Kingdom 7 25 0.2× 102 1.1× 30 0.3× 156 2.7× 23 0.5× 9 344
F. Moldenhauer Germany 8 46 0.4× 264 3.0× 120 1.4× 39 0.7× 14 0.3× 9 394
Tobias Eltze Germany 6 26 0.2× 63 0.7× 151 1.7× 297 5.2× 44 0.9× 6 434

Countries citing papers authored by Jeremy Fitzpatrick

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Fitzpatrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Fitzpatrick

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

All Works

14 of 14 papers shown
1.
Fitzpatrick, Jeremy, Zufan Debebe, Vinay Kondeti, et al.. (2023). Enrichment of adeno‐associated virus serotype 5 full capsids by anion exchange chromatography with dual salt elution gradients. Biotechnology and Bioengineering. 120(10). 2953–2968. 13 indexed citations
2.
Karmaus, Agnes L., Kamel Mansouri, Bevin E. Blake, et al.. (2022). Evaluation of Variability Across Rat Acute Oral Systemic Toxicity Studies. Toxicological Sciences. 188(1). 34–47. 36 indexed citations
3.
Bronson, K. F., Salil N. Pendse, Alina Efremenko, et al.. (2020). The TTC Data Mart: An interactive browser for threshold of toxicological concern calculations. Computational Toxicology. 15. 100128–100128. 3 indexed citations
4.
Kleinstreuer, Nicole, et al.. (2018). Predictive models for acute oral systemic toxicity: A workshop to bridge the gap from research to regulation. Computational Toxicology. 8(11). 21–24. 57 indexed citations
5.
Fitzpatrick, Jeremy, Prachi Pradeep, Agnes L. Karmaus, & Grace Patlewicz. (2018). Using Chemical and Biological Descriptors to Develop Predictive Models for Rat Acute Oral Toxicity. Figshare. 1 indexed citations
6.
Fitzpatrick, Jeremy, David W. Roberts, & Grace Patlewicz. (2018). An evaluation of selected (Q)SARs/expert systems for predicting skin sensitisation potential. SAR and QSAR in environmental research. 29(6). 439–468. 15 indexed citations
7.
Fitzpatrick, Jeremy & Grace Patlewicz. (2017). Application of IATA – A case study in evaluating the global and local performance of a Bayesian network model for skin sensitization. SAR and QSAR in environmental research. 28(4). 297–310. 7 indexed citations
8.
Fitzpatrick, Jeremy, David W. Roberts, & Grace Patlewicz. (2016). Is skin penetration a determining factor in skin sensitization potential and potency? Refuting the notion of a LogKow threshold for skin sensitization. Journal of Applied Toxicology. 37(1). 117–127. 23 indexed citations
9.
Fitzpatrick, Jeremy, David W. Roberts, & Grace Patlewicz. (2016). What determines skin sensitization potency: Myths, maybes and realities. The 500 molecular weight cut‐off: An updated analysis. Journal of Applied Toxicology. 37(1). 105–116. 27 indexed citations
10.
Patlewicz, Grace & Jeremy Fitzpatrick. (2015). Current and Future Perspectives on the Development, Evaluation, and Application of in Silico Approaches for Predicting Toxicity. Chemical Research in Toxicology. 29(4). 438–451. 71 indexed citations
11.
Zheng, Fan, et al.. (2014). Computational Design of Selective Peptides to Discriminate between Similar PDZ Domains in an Oncogenic Pathway. Journal of Molecular Biology. 427(2). 491–510. 20 indexed citations
12.
Song, Gyun Jee, Kristen Leslie, Stacey Barrick, et al.. (2014). Phosphorylation of Ezrin-Radixin-Moesin-binding Phosphoprotein 50 (EBP50) by Akt Promotes Stability and Mitogenic Function of S-phase Kinase-associated Protein-2 (Skp2). Journal of Biological Chemistry. 290(5). 2879–2887. 19 indexed citations
13.
Fitzpatrick, Jeremy, Maria Pellegrini, Patrick R. Cushing, & Dale F. Mierke. (2014). Small Molecule Inhibition of the Na+/H+ Exchange Regulatory Factor 1 and Parathyroid Hormone 1 Receptor Interaction. Biochemistry. 53(37). 5916–5922. 5 indexed citations
14.
Fitzpatrick, Jeremy, et al.. (2014). Asia-Pacific’s First Isometrically Sampled Subsurface Image: Innovative Technology to Deliver on Complex Field Development. International Petroleum Technology Conference.

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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