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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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
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- Extracellular vesicles in disease 3
- Single-cell and spatial transcriptomics 1
- Co-authors
- Naftali Kaminski (7 shared papers)Jonas C. Schupp (6 shared papers)Sergio Poli (3 shared papers)Taylor Adams (4 shared papers)Iván O. Rosas (3 shared papers)Robert Homer (2 shared papers)Farida Ahangari (3 shared papers)Qiaonan Duan (1 shared paper)
- Journals
- Science Advances (2 papers)Journal of Clinical Investigation (1 paper)Medical Image Analysis (1 paper)Academic Radiology (1 paper)American Journal of Respiratory and Critical Care Medicine (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Nir Neumark
11 papers receiving 967 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Pulmonary and Respiratory Medicine 606
- Immunology 163
- Health Informatics 7
- Molecular Biology 342
- Cancer Research 65
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 | 704 |
| 2 | 2019 | 116 | |
| 3 | 2021 | 51 | |
| 4 | 2021 | 43 | |
| 5 | 2024 | 25 | |
| 6 | Using machine learning to detect problems in ECG data collection | 2011 | 19 |
| 7 | 2023 | 6 | |
| 8 | 2022 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2023 | 0 |
About Nir Neumark
Nir Neumark is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Artificial Intelligence, having authored 12 papers that have together received 970 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), COVID-19 diagnosis using AI (2 papers), Advanced X-ray and CT Imaging (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Radiation Dose and Imaging (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (606 citations), Immunology (163 citations), Health Informatics (7 citations), Molecular Biology (342 citations) and Cancer Research (65 citations). Nir Neumark has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Naftali Kaminski, Jonas C. Schupp, Sergio Poli, Taylor Adams, Iván O. Rosas, Robert Homer, Farida Ahangari, Qiaonan Duan, Asim Siddiqui and Benjamin A. Raby. Their work appears in journals such as Science Advances, Journal of Clinical Investigation, Medical Image Analysis, Academic Radiology and American Journal of Respiratory and Critical Care Medicine.
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.