Natalia Sigal
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 7
- Immune Cell Function and Interaction 4
- Biophysics top 5%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 4
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- Single-cell and spatial transcriptomics 6
- Receptor Mechanisms and Signaling 4
- Advanced Biosensing Techniques and Applications 3
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- Viral gastroenteritis research and epidemiology 3
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- CAR-T cell therapy research 3
- Co-authors
- Mark M. DavisEvan W. NewellSean C. BendallGarry P. NolanYara GorzalczanyEdgar PickBrian KiddHarry B. Greenberg
- Cited by
- ImmunologyBiophysicsNeurology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (4 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesIsraelRussia
In The Last Decade
Natalia Sigal
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Immunology 759
- Biophysics 103
- Neurology 72
- Molecular Biology 526
- Physiology 166
Countries citing papers authored by Natalia Sigal
This map shows the geographic impact of Natalia Sigal'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 Natalia Sigal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Sigal more than expected).
Fields of papers citing papers by Natalia Sigal
This network shows the impact of papers produced by Natalia Sigal. 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 Natalia Sigal. The network helps show where Natalia Sigal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalia Sigal, 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 | 9 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 0 | |
| 5 | 2020 | 0 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 72 | |
| 9 | 2019 | 12 | |
| 10 | 2016 | 78 | |
| 11 | 2013 | 12 | |
| 12 | 2013 | 202 | |
| 13 | 2012 | 5 | |
| 14 | 2012 | 424 | |
| 15 | 2003 | 26 | |
| 16 | 2003 | 18 | |
| 17 | 2002 | 62 | |
| 18 | 2002 | 73 | |
| 19 | 2001 | 55 | |
| 20 | 2000 | 114 |
About Natalia Sigal
Natalia Sigal is a scholar working on Immunology, Neurology and Biophysics, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Single-cell and spatial transcriptomics (6 papers), Immune Cell Function and Interaction (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Receptor Mechanisms and Signaling (4 papers), Viral gastroenteritis research and epidemiology (3 papers), CAR-T cell therapy research (3 papers) and Advanced Biosensing Techniques and Applications (3 papers). The work is most often cited by research in Immunology (759 citations), Biophysics (103 citations) and Neurology (72 citations). Natalia Sigal has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Mark M. Davis, Evan W. Newell, Sean C. Bendall, Garry P. Nolan, Yara Gorzalczany, Edgar Pick, Brian Kidd, Harry B. Greenberg, Michal Itan and Nitya Nair. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.