Xiting Yan

5.2k total citations · 1 hit paper
62 papers, 2.0k citations indexed

About

Xiting Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Xiting Yan has authored 62 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Physiology. Recurrent topics in Xiting Yan's work include Gene expression and cancer classification (11 papers), Single-cell and spatial transcriptomics (10 papers) and Bioinformatics and Genomic Networks (8 papers). Xiting Yan is often cited by papers focused on Gene expression and cancer classification (11 papers), Single-cell and spatial transcriptomics (10 papers) and Bioinformatics and Genomic Networks (8 papers). Xiting Yan collaborates with scholars based in United States, China and Germany. Xiting Yan's co-authors include Naftali Kaminski, Jonas C. Schupp, Robert Homer, Benjamin A. Raby, Taylor Adams, Iván O. Rosas, Sergio Poli, Farida Ahangari, Sarah Chu and George R. Washko and has published in prestigious journals such as Immunity, Bioinformatics and PLoS ONE.

In The Last Decade

Xiting Yan

57 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis

2020 704 citations Taylor Adams, Jonas C. Schupp et al. Science Advances profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xiting Yan United States	19	857	676	438	367	208	62	2.0k
Katherine Howell Ireland	14	430 0.5×	278 0.4×	141 0.3×	173 0.5×	158 0.8×	17	983
Saadettin Sel Germany	28	258 0.3×	625 0.9×	223 0.5×	116 0.3×	101 0.5×	91	2.3k
Taylor Adams United States	14	1.0k 1.2×	664 1.0×	325 0.7×	144 0.4×	117 0.6×	52	1.8k
Lucia Sobrin United States	33	283 0.3×	697 1.0×	247 0.6×	213 0.6×	136 0.7×	182	4.6k
Rajni Chibbar Canada	24	257 0.3×	767 1.1×	531 1.2×	65 0.2×	316 1.5×	71	1.8k
Akira Suwa Japan	26	300 0.4×	1.1k 1.6×	394 0.9×	229 0.6×	121 0.6×	85	2.5k
Ildikó Mesteri Austria	20	232 0.3×	957 1.4×	399 0.9×	100 0.3×	672 3.2×	42	1.8k
José M. Adrover United States	12	202 0.2×	455 0.7×	1.2k 2.8×	143 0.4×	79 0.4×	18	1.9k
Ram P. Naikawadi United States	10	784 0.9×	1.6k 2.4×	1.1k 2.6×	288 0.8×	525 2.5×	11	3.1k
Jong‐Keuk Lee South Korea	20	214 0.2×	386 0.6×	292 0.7×	93 0.3×	103 0.5×	72	1.3k

Countries citing papers authored by Xiting Yan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Xiting Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiting Yan. A scholar is included among the top collaborators of Xiting Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiting Yan. Xiting Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Yunqing, Ningshan Li, Gang Xu, et al.. (2024). SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data. Genome biology. 25(1). 271–271. 4 indexed citations

Justet, A., Taylor Adams, Nilay Mitash, et al.. (2024). Fibrotic cocktail treated human precision lung slices replicate the cellular diversity of the IPF lung. Revue des Maladies Respiratoires. 41(3). 218–218. 1 indexed citations

Ju, Wei, Yusheng Zhao, Yifang Qin, et al.. (2024). COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Information Fusion. 107. 102341–102341. 30 indexed citations

Adams, Taylor, John E. McDonough, B.J. Moss, et al.. (2024). SINGLE-CELL ANALYSIS OF SOMATIC MUTATIONS IN HUMAN LUNG REVEALS ASSOCIATION WITH TRANSCRIPTIONAL CHANGES IN AGING. Innovation in Aging. 8(Supplement_1). 571–572.

Ji, Hong‐Long, Xiting Yan, Krishan Gopal Jain, et al.. (2024). Biomarkers and molecular endotypes of sarcoidosis: lessons from omics and non-omics studies. Frontiers in Immunology. 14. 1342429–1342429. 5 indexed citations

Habet, Victoria, Ningshan Li, Ji Qi, et al.. (2023). Integrated Analysis of Tracheobronchial Fluid from Before and AfterCardiopulmonary Bypass Reveals Activation of the Integrated Stress Response andAltered Pulmonary Microvascular Permeability. The Yale Journal of Biology and Medicine. 96(1). 23–42. 2 indexed citations

Chen, Ailu, Miguel F. Sanmamed, Taylor Adams, et al.. (2021). Single-cell characterization of a model of poly I:C-stimulated peripheral blood mononuclear cells in severe asthma. Respiratory Research. 22(1). 9 indexed citations

Wu, Weimiao, et al.. (2021). G2S3: A gene graph-based imputation method for single-cell RNA sequencing data. PLoS Computational Biology. 17(5). e1009029–e1009029. 9 indexed citations

Spakowicz, Daniel, Shaoke Lou, José L. Gómez, et al.. (2020). Approaches for integrating heterogeneous RNA-seq data reveal cross-talk between microbes and genes in asthmatic patients. Genome biology. 21(1). 150–150. 4 indexed citations

10.

Gautam, Samir, Avi J. Cohen, Patricia Valda Toro, et al.. (2020). Severe respiratory viral infection induces procalcitonin in the absence of bacterial pneumonia. Thorax. 75(11). 974–981. 47 indexed citations

11.

Adams, Taylor, Jonas C. Schupp, Sergio Poli, et al.. (2020). Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis. Science Advances. 6(28). eaba1983–eaba1983. 704 indexed citations breakdown →

12.

Gómez, José L., Ailu Chen, María P. Díaz, et al.. (2020). A Network of Sputum MicroRNAs Is Associated with Neutrophilic Airway Inflammation in Asthma. American Journal of Respiratory and Critical Care Medicine. 202(1). 51–64. 49 indexed citations

13.

Schupp, Jonas C., Sara Khanal, José L. Gómez, et al.. (2020). Single-Cell Transcriptional Archetypes of Airway Inflammation in Cystic Fibrosis. American Journal of Respiratory and Critical Care Medicine. 202(10). 1419–1429. 44 indexed citations

14.

Vukmirovic, Milica, Jose D. Herazo‐Maya, John A. Blackmon, et al.. (2017). Identification and validation of differentially expressed transcripts by RNA-sequencing of formalin-fixed, paraffin-embedded (FFPE) lung tissue from patients with Idiopathic Pulmonary Fibrosis. BMC Pulmonary Medicine. 17(1). 15–15. 44 indexed citations

15.

Gómez, José L., Xiting Yan, Carole Holm, et al.. (2017). Characterisation of asthma subgroups associated with circulating YKL-40 levels. European Respiratory Journal. 50(4). 1700800–1700800. 41 indexed citations

16.

Yan, Xiting, J Chu, José L. Gómez, et al.. (2016). Noninvasive Analysis of the Sputum Transcriptome Discriminates Clinical Phenotypes of Asthma. Annals of the American Thoracic Society. 13(Supplement_1). S104–S105. 13 indexed citations

17.

Yan, Xiting, J Chu, José L. Gómez, et al.. (2015). Noninvasive Analysis of the Sputum Transcriptome Discriminates Clinical Phenotypes of Asthma. American Journal of Respiratory and Critical Care Medicine. 191(10). 1116–1125. 62 indexed citations

18.

Lee, Joon Sang, Murim Choi, Xiting Yan, Richard P. Lifton, & Hongyu Zhao. (2011). On optimal pooling designs to identify rare variants through massive resequencing. Genetic Epidemiology. 35(3). 139–147. 13 indexed citations

19.

Li, Jia, Benjamin P. Berman, Xiting Yan, et al.. (2008). Genomic Androgen Receptor-Occupied Regions with Different Functions, Defined by Histone Acetylation, Coregulators and Transcriptional Capacity. PLoS ONE. 3(11). e3645–e3645. 116 indexed citations

20.

Cheng, Chao, Xiting Yan, Fengzhu Sun, & Lei M. Li. (2007). Inferring activity changes of transcription factors by binding association with sorted expression profiles. BMC Bioinformatics. 8(1). 452–452. 71 indexed citations

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.

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