Neta Milman

1.5k total citations
19 papers, 928 citations indexed

About

Neta Milman is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Neta Milman has authored 19 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Neta Milman's work include Malaria Research and Control (4 papers), Trypanosoma species research and implications (4 papers) and DNA Repair Mechanisms (3 papers). Neta Milman is often cited by papers focused on Malaria Research and Control (4 papers), Trypanosoma species research and implications (4 papers) and DNA Repair Mechanisms (3 papers). Neta Milman collaborates with scholars based in United States, Israel and France. Neta Milman's co-authors include Ziv Gil, Gerald R. Smith, Eran Fridman, Yoav Binenbaum, Zvi Yaari, Avi Schroeder, Tomer Shlomi, Scott Keeney, Mariko Sasaki and Patrick E. Duffy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Neta Milman

18 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neta Milman United States 12 717 409 152 134 99 19 928
Ding Ma China 17 557 0.8× 166 0.4× 151 1.0× 52 0.4× 198 2.0× 33 915
Peter Kronenberger Belgium 13 533 0.7× 311 0.8× 65 0.4× 55 0.4× 119 1.2× 25 835
David Courtney United Kingdom 18 846 1.2× 255 0.6× 92 0.6× 69 0.5× 81 0.8× 33 1.1k
Kenneth Garson Canada 17 386 0.5× 128 0.3× 123 0.8× 72 0.5× 160 1.6× 28 708
Yi-Min Zheng China 11 496 0.7× 230 0.6× 266 1.8× 29 0.2× 181 1.8× 21 930
Da Zhu China 12 484 0.7× 161 0.4× 62 0.4× 37 0.3× 106 1.1× 22 624
Ruth E. Hanna United States 11 1.0k 1.4× 77 0.2× 92 0.6× 49 0.4× 156 1.6× 13 1.2k
Guijie Guo China 21 730 1.0× 467 1.1× 229 1.5× 30 0.2× 203 2.1× 45 1.1k
María Paz Zafra Spain 16 736 1.0× 116 0.3× 114 0.8× 28 0.2× 193 1.9× 23 1.0k
Marja van Meijer Netherlands 13 453 0.6× 224 0.5× 159 1.0× 25 0.2× 223 2.3× 18 919

Countries citing papers authored by Neta Milman

Since Specialization
Citations

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

Fields of papers citing papers by Neta Milman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neta Milman

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

All Works

19 of 19 papers shown
1.
Frishberg, Amit, Neta Milman, Ayelet Alpert, et al.. (2023). Reconstructing disease dynamics for mechanistic insights and clinical benefit. Nature Communications. 14(1). 6840–6840. 4 indexed citations
2.
Starosvetsky, Elina, Renaud Gaujoux, Alexandra Blatt, et al.. (2023). A personalized network framework reveals predictive axis of anti-TNF response across diseases. Cell Reports Medicine. 5(1). 101300–101300. 5 indexed citations
3.
Rimar, Doron, et al.. (2023). Differentially expressed genes in systemic sclerosis: Towards predictive medicine with new molecular tools for clinicians. Autoimmunity Reviews. 22(6). 103314–103314. 8 indexed citations
4.
Yang, Ying, Mari B. Ishak Gabra, Eric A. Hanse, et al.. (2019). MiR-135 suppresses glycolysis and promotes pancreatic cancer cell adaptation to metabolic stress by targeting phosphofructokinase-1. Nature Communications. 10(1). 809–809. 109 indexed citations
5.
Milman, Neta, et al.. (2019). Exosomes and their role in tumorigenesis and anticancer drug resistance. Drug Resistance Updates. 45. 1–12. 161 indexed citations
6.
7.
Binenbaum, Yoav, Eran Fridman, Zvi Yaari, et al.. (2018). Transfer of miRNA in Macrophage-Derived Exosomes Induces Drug Resistance in Pancreatic Adenocarcinoma. Cancer Research. 78(18). 5287–5299. 274 indexed citations
8.
Amit, Moran, et al.. (2018). RET, a targetable driver of pancreatic adenocarcinoma. International Journal of Cancer. 144(12). 3014–3022. 11 indexed citations
9.
Milman, Neta, Jia Zhu, Christine Johnston, et al.. (2016). In Situ Detection of Regulatory T Cells in Human Genital Herpes Simplex Virus Type 2 (HSV-2) Reactivation and Their Influence on Spontaneous HSV-2 Reactivation. The Journal of Infectious Diseases. 214(1). 23–31. 15 indexed citations
10.
Speake, Cate, Alexander Pichugin, Robert Morrison, et al.. (2016). Identification of Novel Pre-Erythrocytic Malaria Antigen Candidates for Combination Vaccines with Circumsporozoite Protein. PLoS ONE. 11(7). e0159449–e0159449. 13 indexed citations
11.
Ma, Lijuan, Neta Milman, Mridula Nambiar, & Gerald R. Smith. (2015). Two separable functions of Ctp1 in the early steps of meiotic DNA double-strand break repair. Nucleic Acids Research. 43(15). 7349–7359. 11 indexed citations
12.
Gullingsrud, Justin, Neta Milman, Tracy Saveria, et al.. (2014). High-Throughput Screening Platform Identifies Small Molecules That Prevent Sequestration ofPlasmodium falciparum–Infected Erythrocytes. The Journal of Infectious Diseases. 211(7). 1134–1143. 11 indexed citations
13.
Sasaki, Mariko, et al.. (2014). Evolutionarily diverse determinants of meiotic DNA break and recombination landscapes across the genome. Genome Research. 24(10). 1650–1664. 79 indexed citations
14.
Duffy, Patrick E., et al.. (2012). Pre-erythrocytic malaria vaccines: identifying the targets. Expert Review of Vaccines. 11(10). 1261–1280. 61 indexed citations
15.
Milman, Neta, et al.. (2011). Interactions of a Replication Initiator with Histone H1-like Proteins Remodel the Condensed Mitochondrial Genome. Journal of Biological Chemistry. 286(47). 40566–40574. 12 indexed citations
16.
Milman, Neta, et al.. (2009). Meiotic DNA Double-Strand Break Repair Requires Two Nucleases, MRN and Ctp1, To Produce a Single Size Class of Rec12 (Spo11)-Oligonucleotide Complexes. Molecular and Cellular Biology. 29(22). 5998–6005. 79 indexed citations
17.
Milman, Neta, et al.. (2008). Unique Characteristics of the Kinetoplast DNA Replication Machinery Provide Potential Drug Targets in Trypanosomatids. Advances in experimental medicine and biology. 625. 9–21. 6 indexed citations
18.
Milman, Neta, Shawn A. Motyka, Paul T. Englund, Derrick R. Robinson, & Joseph Shlomai. (2007). Mitochondrial origin-binding protein UMSBP mediates DNA replication and segregation in trypanosomes. Proceedings of the National Academy of Sciences. 104(49). 19250–19255. 47 indexed citations
19.
Milman, Neta, et al.. (1989). [A review of pulmonary histiocytosis X].. PubMed. 151(6). 371–4. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026