Neta Milman

1.6k citations
22 papers · 1.2k · h-index 12

Impact in

Papers in

    • Invertebrate Immune Response Mechanisms 2
    • Trypanosoma species research and implications 3

Neta Milman

21 papers receiving 1.2k citations

Peers

Neta Milman
Comparison fields: 5 of 81
  • Cancer Research 413
  • Biomaterials 140
  • Molecular Biology 710
  • Immunology 199
  • Oncology 196
Replace Mette Ø. Agerbæk with:
Mette Ø. Agerbæk Denmark
Adam C.B. Drake United States
Marina Ayres Pereira Denmark
Frank W. King United States
Qixin Leng United States
Shenghong Yang United States
Franck Carreiras France
Michael Y.K. Leung United States
Liya Roudaia United States
Roya Ghods Iran
Neta Milman relative to Mette Ø. Agerbæk Denmark Mette Ø. Agerbæk's profile →
Citations per field
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Mette Ø. Agerbæk · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Neta Milman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neta Milman Line = papers co-authored together Neta Milman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018295
2 2019283
3 2019171
4 2019115
5 200978
6 201265
7 200749
8 201822
9 201616
10 201616
11 201813
12 201112
13 202212
14 202311
15 201511
16 201411
17 20227
18 20086
19 20236
20 20234

About Neta Milman

Neta Milman is a scholar working on Immunology, Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health and Cancer Research, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Malaria Research and Control (4 papers), Trypanosoma species research and implications (3 papers), Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Biochemical and Molecular Research (2 papers), Mosquito-borne diseases and control (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (413 citations), Biomaterials (140 citations), Molecular Biology (710 citations), Immunology (199 citations) and Oncology (196 citations). Neta Milman has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Ziv Gil, Eran Fridman, Yoav Binenbaum, Tomer Shlomi, Zvi A Yaari, Avi Schroeder, Gil Ben David, Gerald R. Smith, Patrick Emmet Duffy and Joseph Shlomai. Their work appears in journals such as The Journal of Infectious Diseases, Nature Communications, Cell Reports Medicine, Cancer Research and Med.

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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