Shalom Stahl
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Oncology top 10%
- Genetics top 10%
- Immunology top 10%
- Co-authors
- John LöfblomVladimir TolmachevFredrik Y. FrejdMathias UhlénJoachim FeldwischJ. CarlssonPer‐Åke NygrenElin Gunneriusson
- Topics
- Monoclonal and Polyclonal Antibodies Research (16 papers)Biochemical and Structural Characterization (5 papers)Glycosylation and Glycoproteins Research (4 papers)
In The Last Decade
Shalom Stahl
41 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.3k
- Radiology, Nuclear Medicine and Imaging 988
- Oncology 341
- Genetics 299
- Immunology 242
Countries citing papers authored by Shalom Stahl
This map shows the geographic impact of Shalom Stahl'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 Shalom Stahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shalom Stahl more than expected).
Fields of papers citing papers by Shalom Stahl
This network shows the impact of papers produced by Shalom Stahl. 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 Shalom Stahl. The network helps show where Shalom Stahl may publish in the future.
Co-authorship network of co-authors of Shalom Stahl
This figure shows the co-authorship network connecting the top 25 collaborators of Shalom Stahl. A scholar is included among the top collaborators of Shalom Stahl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shalom Stahl. Shalom Stahl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The use of radiocobalt as a label improves PET imaging of EGFR using DOTA-conjugated affibody molecules | 1 |
| 2 | Affibody molecules: Engineered proteins for therapeutic, diagnostic and biotechnological applicationsbreakdown → | 504 |
| 3 | 70 | |
| 4 | 59 | |
| 5 | 36 | |
| 6 | 101 | |
| 7 | 30 | |
| 8 | 133 | |
| 9 | 13 | |
| 10 | 164 | |
| 11 | 7 | |
| 12 | 19 | |
| 13 | 25 | |
| 14 | 10 | |
| 15 | Recovery of upstream cDNA sequences by a PCR-based biotin-capture method. | 1 |
| 16 | Flow cytometric quantification of surface-displayed recombinant receptors on staphylococci. | 34 |
| 17 | 72 | |
| 18 | 21 | |
| 19 | Solid-phase gene assembly of constructs derived from the Plasmodium falciparum malaria blood-stage antigen Ag332. | 17 |
| 20 | 28 |
About Shalom Stahl
Shalom Stahl is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging and Microbiology, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Biochemical and Structural Characterization (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (988 citations), Biotechnology (187 citations) and Molecular Biology (1.3k citations). Shalom Stahl has collaborated with scholars based in Sweden, Israel and Germany. Frequent co-authors include John Löfblom, Vladimir Tolmachev, Fredrik Y. Frejd, Mathias Uhlén, Joachim Feldwisch, J. Carlsson, Per‐Åke Nygren, Elin Gunneriusson, Nina Kronqvist and Henrik Wernérus. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Analytical Biochemistry.
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.