Hava Neumann

957 citations
22 papers · 761 indexed · h-index 13

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Amino Acid Enzymes and Metabolism 3
    • Molecular Sensors and Ion Detection 2
    • Advanced Proteomics Techniques and Applications 2

Hava Neumann

22 papers receiving 667 citations

Peers

Hava Neumann
Comparison fields: 5 of 94
  • Hematology 96
  • Immunology 128
  • Molecular Biology 400
  • Genetics 51
  • Biochemistry 31
Replace Oliver A. Roholt with:
Oliver A. Roholt United States
Johannes Thomsen Denmark
Atsuo Nagamatsu Japan
Tsau-Yen Lin United States
R T Ogata United States
Anthony W. Schrecker United States
William C. Werkheiser United States
Anton Haselbeck Germany
Arianna Donella Deana Italy
James H. Williams Australia
Hava Neumann relative to Oliver A. Roholt United States Oliver A. Roholt's profile →
Citations per field
00.5×10×17×
Oliver A. Roholt · 1×
Citations per year

Countries citing papers authored by Hava Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Hava Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19853
2 19803
3 198016
4 1976341
5 19755
6 197429
7 19715
8 19718
9 197067
10 19704
11 196719
12 196713
13 196523
14 196416
15 196231
16 19626
17 19603
18 19598
19 195962
20 195439

About Hava Neumann

Hava Neumann is a scholar working on Biochemistry, Spectroscopy, Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 22 papers that have together received 761 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (4 papers), Alkaline Phosphatase Research Studies (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Enzyme function and inhibition (3 papers), Molecular Sensors and Ion Detection (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers) and Enzyme Catalysis and Immobilization (2 papers). The work is most often cited by research in Hematology (96 citations), Immunology (128 citations), Molecular Biology (400 citations), Genetics (51 citations) and Biochemistry (31 citations). Hava Neumann has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include Jesper Zeuthen, Aaron Polliack, Farkas Vánky, Ephraim Katchalski, Hannah Ben‐Bassat, Peter Ralph, Eva Klein, Yair Degani, Abraham Patchornik and Yehuda Levin. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American Chemical Society, Biochemistry, Archives of Biochemistry and Biophysics and Nature.

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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