Katya Kneller
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
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- Amino Acid Enzymes and Metabolism
Papers in
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- Metabolism and Genetic Disorders 4
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- Lysosomal Storage Disorders Research 2
- Erythrocyte Function and Pathophysiology 1
- Co-authors
- Ben Pode‐Shakked (3 shared papers)Shlomo Almashanu (1 shared paper)Elon Pras (1 shared paper)Naomi Pode‐Shakked (1 shared paper)Avraham Shaag (1 shared paper)Yair Anikster (3 shared papers)Yuval E. Landau (2 shared papers)Haike Reznik‐Wolf (1 shared paper)
- Journals
- Journal of Inherited Metabolic Disease (2 papers)Orphanet Journal of Rare Diseases (1 paper)European Journal of Medical Genetics (1 paper)The American Journal of Human Genetics (1 paper)Molecular Syndromology (1 paper)
- Partner nations
- IsraelGermanySwitzerland
In The Last Decade
Katya Kneller
4 papers receiving 272 citations
Katya Kneller's Hit Papers
Peers
Comparison fields: 5 of 40
- Clinical Biochemistry 221
- Biochemistry 19
- Physiology 62
- Rheumatology 27
- Molecular Biology 103
Countries citing papers authored by Katya Kneller
This map shows the geographic impact of Katya Kneller'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 Katya Kneller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katya Kneller more than expected).
Fields of papers citing papers by Katya Kneller
This network shows the impact of papers produced by Katya Kneller. 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 Katya Kneller. The network helps show where Katya Kneller may publish in the future.
Co-authors
The 18 scholars most cited alongside Katya Kneller, 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 | The Genetic Landscape and Epidemiology of Phenylketonuria Hit paper breakdown → | 2020 | 253 |
| 2 | 2020 | 15 | |
| 3 | 2021 | 6 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 0 | |
| 6 | 2024 | 0 |
About Katya Kneller
Katya Kneller is a scholar working on Clinical Biochemistry, Physiology, Pediatrics, Perinatology and Child Health, Biochemistry and Rheumatology, having authored 6 papers that have together received 276 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Neonatal Health and Biochemistry (2 papers), Lysosomal Storage Disorders Research (2 papers), Amino Acid Enzymes and Metabolism (1 paper), Folate and B Vitamins Research (1 paper), Biomedical Research and Pathophysiology (1 paper), Mitochondrial Function and Pathology (1 paper) and Erythrocyte Function and Pathophysiology (1 paper). The work is most often cited by research in Clinical Biochemistry (221 citations), Biochemistry (19 citations), Physiology (62 citations), Rheumatology (27 citations) and Molecular Biology (103 citations). Katya Kneller has collaborated with scholars based in Israel, Germany and Switzerland. Frequent co-authors include Ben Pode‐Shakked, Shlomo Almashanu, Elon Pras, Naomi Pode‐Shakked, Avraham Shaag, Yair Anikster, Yuval E. Landau, Haike Reznik‐Wolf, Asaf Vivante and Stanley H. Korman. Their work appears in journals such as Journal of Inherited Metabolic Disease, Orphanet Journal of Rare Diseases, European Journal of Medical Genetics, The American Journal of Human Genetics and Molecular Syndromology.
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.