Xiting Yan
Impact in
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Neonatal Respiratory Health Research
- Medical Imaging and Pathology Studies
- Immunology top 5%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
Papers in ⓘ
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- MicroRNA in disease regulation 5
- Immunology 11
- IL-33, ST2, and ILC Pathways 6
- Co-authors
- Naftali Kaminski (13 shared papers)Jonas C. Schupp (7 shared papers)Benjamin A. Raby (3 shared papers)Robert Homer (3 shared papers)Taylor Adams (10 shared papers)Sergio Poli (3 shared papers)Iván O. Rosas (7 shared papers)Farida Ahangari (4 shared papers)
- Journals
- BMC Bioinformatics (5 papers)American Journal of Respiratory and Critical Care Medicine (3 papers)Immunity (2 papers)Bioinformatics (2 papers)Respiratory Research (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xiting Yan
57 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Pulmonary and Respiratory Medicine 857
- Immunology 438
- Endocrine and Autonomic Systems 118
- Physiology 367
- Cancer Research 208
Countries citing papers authored by Xiting Yan
This map shows the geographic impact of Xiting Yan'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 Xiting Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiting Yan more than expected).
Fields of papers citing papers by Xiting Yan
This network shows the impact of papers produced by Xiting Yan. 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 Xiting Yan. The network helps show where Xiting Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiting Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis Hit paper breakdown → | 2020 | 704 |
| 2 | 2017 | 167 | |
| 3 | 2014 | 117 | |
| 4 | 2008 | 116 | |
| 5 | 2014 | 99 | |
| 6 | 2007 | 71 | |
| 7 | 2015 | 62 | |
| 8 | 2020 | 49 | |
| 9 | 2020 | 47 | |
| 10 | 2017 | 44 | |
| 11 | 2020 | 44 | |
| 12 | 2017 | 41 | |
| 13 | 2013 | 31 | |
| 14 | 2024 | 30 | |
| 15 | 2018 | 29 | |
| 16 | 2020 | 29 | |
| 17 | 2020 | 24 | |
| 18 | 2005 | 22 | |
| 19 | 2020 | 20 | |
| 20 | 2008 | 17 |
About Xiting Yan
Xiting Yan is a scholar working on Cancer Research, Immunology, Molecular Biology, Physiology and Pulmonary and Respiratory Medicine, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Single-cell and spatial transcriptomics (10 papers), Asthma and respiratory diseases (8 papers), Bioinformatics and Genomic Networks (8 papers), Genetic Associations and Epidemiology (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), IL-33, ST2, and ILC Pathways (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (857 citations), Immunology (438 citations), Endocrine and Autonomic Systems (118 citations), Physiology (367 citations) and Cancer Research (208 citations). Xiting Yan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Naftali Kaminski, Jonas C. Schupp, Benjamin A. Raby, Robert Homer, Taylor Adams, Sergio Poli, Iván O. Rosas, Farida Ahangari, Qiaonan Duan and Sarah Chu. Their work appears in journals such as BMC Bioinformatics, American Journal of Respiratory and Critical Care Medicine, Immunity, Bioinformatics and Respiratory Research.
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.