David Weiss
- Plant Science top 0.2%
- Plant Molecular Biology Research 35
- Plant Stress Responses and Tolerance 16
- Biochemistry top 0.5%
- Molecular Biology top 1%
- Plant Gene Expression Analysis 29
- Plant Reproductive Biology 25
- Plant biochemistry and biosynthesis 20
- Biotechnology top 0.5%
- Cancer Research and Treatments 17
- Immunology top 2%
- Immunotherapy and Immune Responses 23
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- Virus-based gene therapy research 17
David Weiss
196 papers receiving 8.5k citations
Peers
Comparison fields: 5 of 156
- Plant Science 5.1k
- Biochemistry 740
- Molecular Biology 5.1k
- Biotechnology 572
- Immunology 1.1k
Countries citing papers authored by David Weiss
This map shows the geographic impact of David Weiss'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 David Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Weiss more than expected).
Fields of papers citing papers by David Weiss
This network shows the impact of papers produced by David Weiss. 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 David Weiss. The network helps show where David Weiss may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Weiss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2021 | 56 | |
| 3 | 2021 | 51 | |
| 4 | 2020 | 34 | |
| 5 | 2020 | 51 | |
| 6 | 2017 | 86 | |
| 7 | 2007 | 211 | |
| 8 | 2004 | 275 | |
| 9 | 2001 | 50 | |
| 10 | 2000 | 4 | |
| 11 | Root Growth, Respiration and β-Glucosidase Activity in Maize (Zea mays) and Common Bean (Phaseolus vulgaris) Inoculated with Azospirillum brasilense | 1999 | 11 |
| 12 | Methyl jasmonate induces pigmentation and flavonoid gene expression in petunia corollas: a possible role in wound response [anthocyanins, chalcone synthase, dihydroflavonol 4-reductase] | 1995 | 1 |
| 13 | 1987 | 1 | |
| 14 | Dynamic aspects of host-parasite relationships | 1973 | 39 |
| 15 | Immunology of Spontaneous Mammary Carcinomas in Mice | 1966 | 66 |
| 16 | 1966 | 76 | |
| 17 | The antigen responsible for acquired resistance to spontaneous mammary carcinomas in mice. Abstr. | 1965 | 1 |
| 18 | 1964 | 40 | |
| 19 | 1958 | 22 | |
| 20 | 1955 | 26 |
About David Weiss
David Weiss is a scholar working on Biotechnology, Immunology and Plant Science, having authored 205 papers that have together received 9.2k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (35 papers), Plant Gene Expression Analysis (29 papers), Plant Reproductive Biology (25 papers), Immunotherapy and Immune Responses (23 papers), Plant biochemistry and biosynthesis (20 papers), Cancer Research and Treatments (17 papers), Virus-based gene therapy research (17 papers) and Plant Stress Responses and Tolerance (16 papers). The work is most often cited by research in Plant Science (5.1k citations), Biochemistry (740 citations) and Molecular Biology (5.1k citations). David Weiss has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Naomi Ori, Susan Lurie, Mohammed A. Attia, Alexander Vainstein, Neil E. Olszewski, Eran Pichersky, Abraham H. Halevy, Gili Ben‐Nissan, Amihud Borochov and I. Nir. Their work appears in journals such as PLANT PHYSIOLOGY, Physiologia Plantarum, Cellular Immunology, The Plant Cell and JNCI Journal of the National Cancer Institute.
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.