Nava Epstein

3.8k total citations · 1 hit paper
34 papers, 2.9k citations indexed

About

Nava Epstein is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Nava Epstein has authored 34 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 6 papers in Immunology. Recurrent topics in Nava Epstein's work include Cardiomyopathy and Myosin Studies (9 papers), Cardiovascular Effects of Exercise (5 papers) and Muscle Physiology and Disorders (4 papers). Nava Epstein is often cited by papers focused on Cardiomyopathy and Myosin Studies (9 papers), Cardiovascular Effects of Exercise (5 papers) and Muscle Physiology and Disorders (4 papers). Nava Epstein collaborates with scholars based in United States, Israel and United Kingdom. Nava Epstein's co-authors include Lameh Fananapazir, R. Jude Samulski, Xiaodong Zhu, Xiangwei Xiao, David E. Housman, J. David Brook, Gabriel Cohn, James R. Sellers, Louis H. Miller and Julio A. Panza and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Nava Epstein

33 papers receiving 2.8k citations

Hit Papers

Targeted integration of adeno-associated virus (AAV) into... 1991 2026 2002 2014 1991 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nava Epstein United States 21 1.4k 1.3k 744 331 290 34 2.9k
Heinz Lother Germany 21 1.6k 1.2× 660 0.5× 628 0.8× 105 0.3× 480 1.7× 33 2.7k
Martina Sauter Germany 29 956 0.7× 1.2k 0.9× 261 0.4× 566 1.7× 643 2.2× 64 2.6k
Renate Hellmiss United States 11 1.4k 1.0× 681 0.5× 400 0.5× 76 0.2× 182 0.6× 11 2.8k
J Finidori France 31 1.1k 0.8× 216 0.2× 447 0.6× 148 0.4× 247 0.9× 55 2.6k
Jürg M. Sommer United States 24 2.0k 1.4× 282 0.2× 1.7k 2.3× 416 1.3× 96 0.3× 41 3.1k
Yuichi Watanabe Japan 24 856 0.6× 163 0.1× 684 0.9× 357 1.1× 282 1.0× 83 2.2k
Flavio Lejbkowicz Israel 21 1.0k 0.7× 325 0.2× 249 0.3× 139 0.4× 206 0.7× 55 2.0k
Nicholas W. Shworak United States 29 2.0k 1.4× 152 0.1× 494 0.7× 636 1.9× 296 1.0× 44 3.6k
Nuria Carrillo United States 20 851 0.6× 184 0.1× 333 0.4× 459 1.4× 236 0.8× 33 1.6k
Olivier Donzé Switzerland 25 2.3k 1.6× 185 0.1× 352 0.5× 289 0.9× 979 3.4× 35 3.5k

Countries citing papers authored by Nava Epstein

Since Specialization
Citations

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

Fields of papers citing papers by Nava Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nava Epstein

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

All Works

20 of 20 papers shown
1.
Wiser, Itay, Nadav Orr, Bella Kaufman, et al.. (2010). Immunosuppressive Treatments Reduce Long‐Term Immunity to Smallpox among Patients with Breast Cancer. The Journal of Infectious Diseases. 201(10). 1527–1534. 6 indexed citations
2.
Weitzen, Rony, Nava Epstein, Yehuda Shoenfeld, & Eyal Zimlichman. (2007). Diagnosing Diseases by Measurement of Electrical Skin Impedance. Annals of the New York Academy of Sciences. 1109(1). 185–192. 9 indexed citations
3.
Wolf, Ido, Hannah Kanety, Yulia Kundel, et al.. (2006). Adiponectin, ghrelin, and leptin in cancer cachexia in breast and colon cancer patients. Cancer. 106(4). 966–973. 151 indexed citations
4.
Davis, Julien S., et al.. (2002). A Gradient of Myosin Regulatory Light-chain Phosphorylation across the Ventricular Wall Supports Cardiac Torsion. Cold Spring Harbor Symposia on Quantitative Biology. 67(0). 345–352. 15 indexed citations
5.
Winichagoon, Pranee, et al.. (1998). Detection of ζ-globin chains in the cord blood by ELISA (enzyme-linked immunosorbent assay): Rapid screening for α-thalassemia 1 (Southeast Asian type). American Journal of Hematology. 57(4). 283–286. 8 indexed citations
6.
Epstein, Nava, et al.. (1996). Monoclonal antibody‐based methods for quantitation of hemoglobins: application to evaluating patients with sickle cell anemia treated with hydroxyurea. European Journal Of Haematology. 57(1). 17–24. 13 indexed citations
7.
Epstein, Nava, et al.. (1995). Abnormal contractile properties of muscle fibers expressing beta-myosin heavy chain gene mutations in patients with hypertrophic cardiomyopathy.. Journal of Clinical Investigation. 95(3). 1409–1414. 148 indexed citations
9.
Cuda, Giovanni, et al.. (1993). Skeletal muscle expression and abnormal function of beta-myosin in hypertrophic cardiomyopathy.. Journal of Clinical Investigation. 91(6). 2861–2865. 195 indexed citations
11.
Tobi, Martin, Paul Rozen, Nava Epstein, et al.. (1991). Oral colon lavage solutions containing polyethylene glycol may interfere with ELISA detection of tumor-associated antigens in colonic effluent. Digestive Diseases and Sciences. 36(10). 1448–1452. 9 indexed citations
12.
Brook, J. David, Samantha J.L. Knight, Susan Roberts, et al.. (1991). The physical map of chromosome arm 19q: some new assignments, confirmations and re-assessments. Human Genetics. 87(1). 65–72. 12 indexed citations
13.
Epstein, Nava, Omri Nahor, & Jonathan Silver. (1990). The 3' ends of alu repeats are highly polymorphic. Nucleic Acids Research. 18(15). 4634–4634. 27 indexed citations
14.
Segal, Raphael, Molly Dayan, Nava Epstein, et al.. (1989). Common variable immunodeficiency: A family study and therapeutic trial with cimetidine. Journal of Allergy and Clinical Immunology. 84(5). 753–761. 15 indexed citations
15.
Epstein, Nava, et al.. (1987). A new moderately repetitive DNa sequence family of movel organization. Nucleic Acids Research. 15(5). 2327–2341. 27 indexed citations
16.
Heaton, K W, A. P. Shepherd, Philip D. Ross, et al.. (1986). The British Society of Gastroenterology. Gut. 27(10). A1234–A1285. 2 indexed citations
17.
Aikawa, Masanori, Louis H. Miller, J Rabbege, & Nava Epstein. (1981). Freeze-fracture study on the erythrocyte membrane during malarial parasite invasion.. The Journal of Cell Biology. 91(1). 55–62. 99 indexed citations
18.
Epstein, Nava, George P. Hess, Peter S. Kim, & Richard L. Noble. (1980). Inactivation (Desensitization) of the acetylcholine receptor inElectrophorus electricus membrane vesicles by carbamylcholine: Comparison between ion flux and α-bungarotoxin binding. The Journal of Membrane Biology. 56(2). 133–137. 6 indexed citations
19.
Schejter, Abel, Amos Lanir, & Nava Epstein. (1976). Binding of hydrogen donors to horseradish peroxidase: A spectroscopic study. Archives of Biochemistry and Biophysics. 174(1). 36–44. 78 indexed citations
20.
Epstein, Nava, et al.. (1974). Proceedings: Peptide antagonists of the renin-angiotensin system and the elucidation of the receptors for angiotensin-induced drinking.. PubMed. 238(1). 34P–35P. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026