John D. Nagy

1.9k total citations
56 papers, 1.2k citations indexed

About

John D. Nagy is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, John D. Nagy has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 10 papers in Surgery and 9 papers in Molecular Biology. Recurrent topics in John D. Nagy's work include Mathematical Biology Tumor Growth (7 papers), Gene Regulatory Network Analysis (7 papers) and Hepatitis B Virus Studies (6 papers). John D. Nagy is often cited by papers focused on Mathematical Biology Tumor Growth (7 papers), Gene Regulatory Network Analysis (7 papers) and Hepatitis B Virus Studies (6 papers). John D. Nagy collaborates with scholars based in United States, United Kingdom and Cyprus. John D. Nagy's co-authors include Yang Kuang, Steffen E. Eikenberry, Stephen A. Gourley, James J. Elser, Marcia Kyle, Marilyn S. Smith, P A Stonebridge, Andrew T. Smith, Rebecca A. Everett and Dieter Armbruster and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

John D. Nagy

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John D. Nagy United States	19	390	291	256	225	223	56	1.2k
Meredith E. Pittman United States	17	97 0.2×	84 0.3×	170 0.7×	165 0.7×	270 1.2×	49	1.2k
Jacob G. Scott United States	31	399 1.0×	95 0.3×	388 1.5×	852 3.8×	722 3.2×	138	2.8k
Sha He China	16	248 0.6×	152 0.5×	90 0.4×	60 0.3×	435 2.0×	44	994
Ke Wu China	22	170 0.4×	51 0.2×	37 0.1×	169 0.8×	451 2.0×	68	1.5k
Yuri N. Naumov United States	19	241 0.6×	61 0.2×	143 0.6×	44 0.2×	151 0.7×	27	1.6k
Helen Moore United States	18	151 0.4×	208 0.7×	93 0.4×	75 0.3×	303 1.4×	61	1.1k
B. I. Lord United Kingdom	31	92 0.2×	144 0.5×	458 1.8×	503 2.2×	1.2k 5.2×	106	4.3k
Qamar J. Khan United States	23	171 0.4×	328 1.1×	447 1.7×	380 1.7×	301 1.3×	93	1.7k
Cristian Tomasetti United States	17	210 0.5×	133 0.5×	537 2.1×	444 2.0×	1.5k 6.9×	43	3.4k
Anna Kane Laird United States	15	387 1.0×	70 0.2×	210 0.8×	105 0.5×	412 1.8×	20	1.5k

Countries citing papers authored by John D. Nagy

Since Specialization

Citations

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

Fields of papers citing papers by John D. Nagy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Nagy. 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 John D. Nagy. The network helps show where John D. Nagy may publish in the future.

Co-authorship network of co-authors of John D. Nagy

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

All Works

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20 of 20 papers shown

MacLeod, Caitlin S., et al.. (2025). Exploring optimal analgesic strategies for chronic limb-threatening ischaemia: a systematic review protocol. BMJ Open. 15(7). e090678–e090678.

Nagy, John D., et al.. (2025). Global dynamics of a discrete two-population model for flour beetle growth. Mathematical Biosciences & Engineering. 22(8). 1980–1998.

MacLeod, Caitlin S., et al.. (2024). Processes and approaches to perioperative pain management in patients undergoing major lower extremity amputations secondary to vascular disease: a multi-specialty modified Delphi consensus study protocol. BMJ Open. 14(12). e090289–e090289.

MacLeod, Caitlin S., et al.. (2023). The Safety and Efficacy of Phage Therapy for Infections in Cardiac and Peripheral Vascular Surgery: A Systematic Review. Antibiotics. 12(12). 1684–1684. 3 indexed citations

MacLeod, Caitlin S., Andrew Radley, David P. Strachan, et al.. (2023). Management of the infected arterial pseudoaneurysm secondary to groin injecting drug use and outcomes: a systematic review protocol. BMJ Open. 13(6). e070615–e070615.

Brady‐Nicholls, Renee, John D. Nagy, Travis Gerke, et al.. (2020). Prostate-specific antigen dynamics predict individual responses to intermittent androgen deprivation. Nature Communications. 11(1). 1750–1750. 65 indexed citations

Everett, Rebecca A., et al.. (2014). Mechanisms of Resistance to Intermittent Androgen Deprivation in Patients with Prostate Cancer Identified by a Novel Computational Method. Cancer Research. 74(14). 3673–3683. 42 indexed citations

White, Easton R., John D. Nagy, & Samuel H. Gruber. (2014). Modeling the population dynamics of lemon sharks. Biology Direct. 9(1). 23–23. 12 indexed citations

Parvinen, Kalle, et al.. (2012). Evolution of dispersal in American pika (Ochotona princeps) metapopulations. Evolutionary ecology research. 14(1). 1–29. 5 indexed citations

10.

Nagy, John D. & Dieter Armbruster. (2012). Evolution of uncontrolled proliferation and the angiogenic switch in cancer. Mathematical Biosciences & Engineering. 9(4). 843–876. 16 indexed citations

11.

Parvinen, Kalle, et al.. (2012). Evolution of Complex Density-Dependent Dispersal Strategies. Bulletin of Mathematical Biology. 74(11). 2622–49. 15 indexed citations

12.

Eikenberry, Steffen E., John D. Nagy, & Yang Kuang. (2010). The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model. Biology Direct. 5(1). 24–24. 43 indexed citations

13.

Eikenberry, Steffen E., et al.. (2009). Rich dynamics of a hepatitis B viral infection model with logistic hepatocyte growth. Journal of Mathematical Biology. 60(4). 573–590. 86 indexed citations

14.

Eikenberry, Steffen E., et al.. (2009). The dynamics of a delay model of hepatitis B virus infection with logistic hepatocyte growth. Mathematical Biosciences & Engineering. 6(2). 283–299. 60 indexed citations

15.

Wang, Hao, John D. Nagy, Olivier Gilg, & Yang Kuang. (2009). The roles of predator maturation delay and functional response in determining the periodicity of predator–prey cycles. Mathematical Biosciences. 221(1). 1–10. 23 indexed citations

16.

Mofidi, Reza, M. Flett, John D. Nagy, et al.. (2008). Balloon Angioplasty as the Primary Treatment for Failing Infra-inguinal Vein Grafts. European Journal of Vascular and Endovascular Surgery. 37(2). 198–205. 17 indexed citations

17.

Mofidi, Reza, Sanjay Pandanaboyana, M. Flett, et al.. (2008). The Value of Vein Graft Surveillance in Bypasses Performed with Small-Diameter Vein Grafts. Annals of Vascular Surgery. 23(1). 17–23. 6 indexed citations

18.

Elser, James J., Marcia Kyle, Marilyn S. Smith, & John D. Nagy. (2007). Biological Stoichiometry in Human Cancer. PLoS ONE. 2(10). e1028–e1028. 71 indexed citations

19.

Nagy, John D.. (1996). Do Vacancy Decontrol Provisions undo Rent Control. SSRN Electronic Journal. 2 indexed citations

20.

Nagy, John D.. (1975). Geduldig v. Aiello. Hofstra law review. 3(1). 6. 1 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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