Hava Neumann
Impact in
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Chemical Synthesis and Analysis 4
- Enzyme function and inhibition 3
- Enzyme Catalysis and Immobilization 2
- Protein Hydrolysis and Bioactive Peptides 2
-
- Alkaline Phosphatase Research Studies 4
- Co-authors
- Aaron Polliack (1 shared paper)Farkas Vánky (1 shared paper)Hannah Ben‐Bassat (1 shared paper)Ephraim Katchalski (5 shared papers)Peter Ralph (1 shared paper)Eva Klein (1 shared paper)Jesper Zeuthen (1 shared paper)Abraham Patchornik (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Archives of Biochemistry and Biophysics (2 papers)Nature (2 papers)Biochemistry (2 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- IsraelUnited StatesDenmark
In The Last Decade
Hava Neumann
22 papers receiving 671 citations
Peers
Comparison fields: 5 of 93
- Hematology 93
- Immunology 125
- Molecular Biology 396
- Genetics 48
- Biochemistry 31
Countries citing papers authored by Hava Neumann
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
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-authors
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.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 344 | |
| 2 | 1970 | 67 | |
| 3 | 1959 | 62 | |
| 4 | 1954 | 39 | |
| 5 | 1962 | 31 | |
| 6 | 1967 | 31 | |
| 7 | 1970 | 29 | |
| 8 | 1974 | 29 | |
| 9 | 1965 | 23 | |
| 10 | 1967 | 19 | |
| 11 | 1980 | 16 | |
| 12 | 1964 | 16 | |
| 13 | 1967 | 13 | |
| 14 | 1959 | 8 | |
| 15 | 1971 | 8 | |
| 16 | 1962 | 6 | |
| 17 | 1971 | 5 | |
| 18 | 1975 | 5 | |
| 19 | 1970 | 4 | |
| 20 | 1980 | 3 |
About Hava Neumann
Hava Neumann is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Spectroscopy, Organic Chemistry and Oncology, having authored 22 papers that have together received 764 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), Advanced Proteomics Techniques and Applications (2 papers), Enzyme Catalysis and Immobilization (2 papers), Molecular Sensors and Ion Detection (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Hematology (93 citations), Immunology (125 citations), Molecular Biology (396 citations), Genetics (48 citations) and Biochemistry (31 citations). Hava Neumann has collaborated with scholars based in Israel, United States and Denmark. Frequent co-authors include Aaron Polliack, Farkas Vánky, Hannah Ben‐Bassat, Ephraim Katchalski, Peter Ralph, Eva Klein, Jesper Zeuthen, Abraham Patchornik, Yair Degani and Yehuda Levin. Their work appears in journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Nature, Biochemistry and Journal of the American Chemical Society.
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.