Nir Neumark
Impact in
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Neonatal Respiratory Health Research
- Medical Imaging and Pathology Studies
- Pulmonary Hypertension Research and Treatments
- Occupational and environmental lung diseases
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- IL-33, ST2, and ILC Pathways
Papers in
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- Extracellular vesicles in disease 3
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
- Co-authors
- Naftali Kaminski (7 shared papers)Jonas C. Schupp (6 shared papers)Iván O. Rosas (3 shared papers)Taylor Adams (4 shared papers)Sergio Poli (2 shared papers)Robert Homer (2 shared papers)Farida Ahangari (3 shared papers)Michael Januszyk (1 shared paper)
- Journals
- Science Advances (2 papers)American Journal of Respiratory and Critical Care Medicine (1 paper)Academic Radiology (1 paper)Medical Image Analysis (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Nir Neumark
11 papers receiving 1.0k citations
Nir Neumark's Hit Papers
Peers
Comparison fields: 5 of 84
- Pulmonary and Respiratory Medicine 598
- Immunology 143
- Health Informatics 7
- Molecular Biology 320
- Cancer Research 53
Countries citing papers authored by Nir Neumark
This map shows the geographic impact of Nir Neumark'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 Nir Neumark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Neumark more than expected).
Fields of papers citing papers by Nir Neumark
This network shows the impact of papers produced by Nir Neumark. 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 Nir Neumark. The network helps show where Nir Neumark may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Neumark, 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 | Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis Hit paper breakdown → | 2020 | 751 |
| 2 | 2019 | 124 | |
| 3 | 2021 | 53 | |
| 4 | 2021 | 46 | |
| 5 | 2024 | 30 | |
| 6 | Using machine learning to detect problems in ECG data collection | 2011 | 19 |
| 7 | 2023 | 8 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 1 |
About Nir Neumark
Nir Neumark is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Immunology and Artificial Intelligence, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Extracellular vesicles in disease (3 papers), Advanced X-ray and CT Imaging (2 papers), Radiation Dose and Imaging (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Digital Imaging for Blood Diseases (1 paper) and Healthcare Technology and Patient Monitoring (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (598 citations), Immunology (143 citations), Health Informatics (7 citations), Molecular Biology (320 citations) and Cancer Research (53 citations). Nir Neumark has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Naftali Kaminski, Jonas C. Schupp, Iván O. Rosas, Taylor Adams, Sergio Poli, Robert Homer, Farida Ahangari, Michael Januszyk, Benjamin A. Raby and George R. Washko. Their work appears in journals such as Science Advances, American Journal of Respiratory and Critical Care Medicine, Academic Radiology, Medical Image Analysis and Journal of Clinical Investigation.
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.