Drorit Neumann

4.3k citations
117 papers · 3.3k indexed · h-index 31
  • Hematology top 1%
    • Erythropoietin and Anemia Treatment 42
  • Genetics top 5%
  • Immunology top 5%
    • Complement system in diseases 11
    • Immune Cell Function and Interaction 8
  • Oncology top 5%
    • PARP inhibition in cancer therapy 9
    • Nicotinic Acetylcholine Receptors Study 9
    • Ion channel regulation and function 8
    • Erythrocyte Function and Pathophysiology 20
    • Myasthenia Gravis and Thymoma 9

Drorit Neumann

111 papers receiving 3.3k citations

Peers

Drorit Neumann
Comparison fields: 5 of 118
  • Hematology 971
  • Genetics 347
  • Immunology 608
  • Oncology 582
  • Molecular Biology 1.3k
Replace Martijn F.B.G. Gebbink with:
Martijn F.B.G. Gebbink Netherlands
Gregory Hollis United States
Koichiro Mihara Canada
Hsieng S. Lu United States
Takao Takahashi Japan
W. Stratford May United States
Karl N. Miller United States
Yoshiro Maru Japan
Theodora S. Ross United States
Gianfranco Bazzoni Italy
Drorit Neumann relative to Martijn F.B.G. Gebbink Netherlands Martijn F.B.G. Gebbink's profile →
Citations per field
00.5×1.5×1.9×
Martijn F.B.G. Gebbink · 1×
Citations per year

Countries citing papers authored by Drorit Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Drorit Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Drorit Neumann, 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 Drorit Neumann Line = papers co-authored together Drorit Neumann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20233
3 20218
4 202120
5 202019
6 201417
7 201423
8 201210
9 201068
10 201020
11 201033
12 200926
13 200710
14 200517
15 200223
16 200186
17 19938
18 199122
19 1988112
20 19781

About Drorit Neumann

Drorit Neumann is a scholar working on Hematology, Genetics and Immunology, having authored 117 papers that have together received 3.3k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (42 papers), Erythrocyte Function and Pathophysiology (20 papers), Complement system in diseases (11 papers), Myasthenia Gravis and Thymoma (9 papers), PARP inhibition in cancer therapy (9 papers), Nicotinic Acetylcholine Receptors Study (9 papers), Immune Cell Function and Interaction (8 papers) and Ion channel regulation and function (8 papers). The work is most often cited by research in Hematology (971 citations), Genetics (347 citations) and Immunology (608 citations). Drorit Neumann has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Moshe Mittelman, Sara Fuchs, Lodish Hf, N. R. Rose, A Herskowitz, James R. Lane, S. Fuchs, Max Gassmann, Anne Lafond-Walker and Mati Fridkin. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Biochemical Journal and FEBS Letters.

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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