Xiaoming Jia

9.6k total citations · 2 hit papers
28 papers, 2.4k citations indexed

About

Xiaoming Jia is a scholar working on Pathology and Forensic Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Xiaoming Jia has authored 28 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Xiaoming Jia's work include Multiple Sclerosis Research Studies (12 papers), T-cell and B-cell Immunology (5 papers) and Genetic Associations and Epidemiology (4 papers). Xiaoming Jia is often cited by papers focused on Multiple Sclerosis Research Studies (12 papers), T-cell and B-cell Immunology (5 papers) and Genetic Associations and Epidemiology (4 papers). Xiaoming Jia collaborates with scholars based in United States, Switzerland and China. Xiaoming Jia's co-authors include Soumya Raychaudhuri, Paul I. W. de Bakker, Sergio E. Baranzini, Buhm Han, Zhongkui Xia, Kerstin Berer, Tania Kümpfel, Hartmut Wekerle, Benjamin F. Voight and Chuan Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Xiaoming Jia

27 papers receiving 2.4k 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.

Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice

2017 650 citations Kerstin Berer, Lisa Ann Gerdes et al. Proceedings of the National Academy of Sciences profile →
Five amino acids in three HLA proteins explain most of the association between MHC and seropositive rheumatoid arthritis

2012 617 citations Soumya Raychaudhuri, Cynthia Sandor et al. Nature Genetics profile →

Peers

Countries citing papers authored by Xiaoming Jia

Since Specialization

Citations

This map shows the geographic impact of Xiaoming Jia'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 Xiaoming Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Jia more than expected).

Fields of papers citing papers by Xiaoming Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoming Jia. 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 Xiaoming Jia. The network helps show where Xiaoming Jia may publish in the future.

Co-authorship network of co-authors of Xiaoming Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Jia. A scholar is included among the top collaborators of Xiaoming Jia 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 Xiaoming Jia. Xiaoming Jia 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

#	Work	Indexed citations
1	Adaptive and Innate Immunity Are Key Drivers of Age at Onset of Multiple Sclerosis 2024 ·Neurology Genetics ·(unknown), Yunfeng Huang, Stephanie Loomis, (unknown), Elizabeth Fisher, Arie Gafson, Heiko Runz, Ellen Tsai, Xiaoming Jia, (unknown), Paola G. Bronson, Tushar Bhangale, Farren Briggs	2
2	Multi-arm U-Net with dense input and skip connectivity for T2 lesion segmentation in clinical trials of multiple sclerosis 2023 ·Scientific Reports ·Anitha Priya Krishnan, Zhuang Song, David Clayton, Xiaoming Jia, Alex de Crespigny, Richard A.D. Carano	12
3	Blood neurofilament light levels predict non-relapsing progression following anti-CD20 therapy in relapsing and primary progressive multiple sclerosis: findings from the ocrelizumab randomised, double-blind phase 3 clinical trials 2023 ·EBioMedicine ·Amit Bar‐Or, (unknown), Christopher Harp, Corrado Bernasconi, Leo H. Bonati, Anne H. Cross, Saloumeh K Fischer, Laura Gaetano, Stephen L. Hauser, Robert L. Hendricks, Ludwig Kappos, Jens Kühle, David Leppert, Fabian Model, Annette Sauter, Harold Koendgen, Xiaoming Jia, Ann Herman	46
4	Genome-wide study of longitudinal brain imaging measures of multiple sclerosis progression across six clinical trials 2023 ·Scientific Reports ·Stephanie Loomis, (unknown), Elizabeth Fisher, Arie Gafson, Yunfeng Huang, Chengran Yang, (unknown), Eric Marshall, (unknown), Sally John, Heiko Runz, Xiaoming Jia, Tushar Bhangale, Paola G. Bronson	1
5	Deformation-based morphometry identifies deep brain structures protected by ocrelizumab 2022 ·NeuroImage Clinical ·Zhuang Song, (unknown), Laura Gaetano, Nicholas J. Tustison, David Clayton, Alex de Crespigny, Thomas Bengtsson, Xiaoming Jia, Richard A.D. Carano	1
6	Development of an age‐adjusted model for blood neurofilament light chain 2022 ·Annals of Clinical and Translational Neurology ·Christopher Harp, (unknown), Xiaoming Jia, Jens Kühle, David Leppert, Sabine Schaedelin, Pascal Benkert, H.‐Christian von Büdingen, Robert L. Hendricks, (unknown)	29
7	Accurate imputation of human leukocyte antigens with CookHLA 2021 ·Nature Communications ·(unknown), (unknown), (unknown), Yang Luo, Kun Hee Kim, Xiaoming Jia, Soumya Raychaudhuri, Buhm Han	23
8	B-Cell Subset Depletion Following Ocrelizumab Treatment in Patients With Relapsing Multiple Sclerosis (4292) 2021 ·Neurology ·Stephen L. Hauser, Nicolas Strauli, (unknown), Christopher Harp, Harold Koendgen, Heidemarie Kletzl, (unknown), Xiaoming Jia, (unknown), Ludwig Kappos, Amit Bar‐Or	3
9	Factors associated with baseline serum neurofilament light concentrations in relapsing and primary progressive multiple sclerosis patients in the ocrelizumab OPERA 1 and ORATORIO Trials (2420) 2020 ·Neurology ·Amit Bar‐Or, (unknown), Christopher Harp, Anne Cross, (unknown), Stephen L. Hauser, Xiaoming Jia, Ludwig Kappos, Harold Koendgen, Jens Kühle, David Leppert, Marianna Manfrini, Fabian Model, Annette Sauter, (unknown)	1
10	Genome sequencing uncovers phenocopies in primary progressive multiple sclerosis 2018 ·Annals of Neurology ·Xiaoming Jia, Lohith Madireddy, Stacy J. Caillier, Adam Santaniello, Federica Esposito, Gıancarlo Comı, Olaf Stüve, Yuan Zhou, Bruce Taylor, Trevor J. Kilpatrick, Filippo Martinelli Boneschi, Bruce Cree, Jorge R. Oksenberg, Stephen L. Hauser, Sergio E. Baranzini	32
11	Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice breakdown → 2017 ·Proceedings of the National Academy of Sciences ·Kerstin Berer, Lisa Ann Gerdes, Egle Cekanaviciute, Xiaoming Jia, Liang Xiao, Zhongkui Xia, Chuan Liu, Luisa Klotz, (unknown), Sergio E. Baranzini, Tania Kümpfel, Reinhard Hohlfeld, Gurumoorthy Krishnamoorthy, Hartmut Wekerle	650
12	Common coding variants in the HLA-DQB1 region confer susceptibility to age-related macular degeneration 2016 ·European Journal of Human Genetics ·Eric Jorgenson, Ronald B. Melles, Thomas J. Hoffmann, Xiaoming Jia, Lori C. Sakoda, Mark Kvale, Yambazi Banda, Catherine Schaefer, Neil Risch, Ling Shen	11
13	Imputing Amino Acid Polymorphisms in Human Leukocyte Antigens 2013 ·PLoS ONE ·Xiaoming Jia, Buhm Han, Suna Önengüt-Gümüşcü, Wei‐Min Chen, Patrick Concannon, Stephen S. Rich, Soumya Raychaudhuri, Paul I. W. de Bakker	352
14	Fine-mapping classical HLA variation associated with durable host control of HIV-1 infection in African Americans 2012 ·Human Molecular Genetics ·Paul J. McLaren, Stephan Ripke, Kimberly Pelak, Amy Weintrob, Nikolaos A. Patsopoulos, Xiaoming Jia, Rachel Erlich, Niall J. Lennon, Carl Kadie, David Heckerman, Namrata Gupta, David W. Haas, Steven G. Deeks, Florencia Pereyra, Bruce D. Walker, Paul I.W. de Bakker	44
15	Five amino acids in three HLA proteins explain most of the association between MHC and seropositive rheumatoid arthritis breakdown → 2012 ·Nature Genetics ·Soumya Raychaudhuri, Cynthia Sandor, Eli A. Stahl, Jan Freudenberg, (unknown), Xiaoming Jia, Lars Alfredsson, Leonid Padyukov, Lars Klareskog, Jane Worthington, Katherine Siminovitch, Sang‐Cheol Bae, Robert M. Plenge, Peter K. Gregersen, Paul I. W. de Bakker	617
16	Next-generation sequencing for HLA typing of class I loci 2011 ·BMC Genomics ·Rachel Erlich, Xiaoming Jia, Scott Anderson, Eric Banks, Xiaojiang Gao, Mary Carrington, Namrata Gupta, Mark A. DePristo, Matthew R. Henn, Niall J. Lennon, Paul IW de Bakker	110
17	Sensitivity of pooled serum testing for screening antibody of schistosomiasis japonica by IHA in a mountainous area of Yunnan, China 2009 ·Parasitology ·Xiaoming Jia, Hutcha Sriplung, Virasakdi Chongsuvivatwong, Alan Geater	9
18	Practical aspects of imputation-driven meta-analysis of genome-wide association studies 2008 ·Human Molecular Genetics ·Paul I. W. de Bakker, Manuel A. R. Ferreira, Xiaoming Jia, Benjamin M. Neale, Soumya Raychaudhuri, Benjamin F. Voight	278
19	Risk Factors for ARDS in Patients Receiving Mechanical Ventilation for > 48 h 2008 ·CHEST Journal ·Xiaoming Jia, Atul Malhotra, M. A. Saeed, Roger G. Mark, Daniel Talmor	131
20	Can HB vaccine yield a booster effect on individuals with positive serum anti-HBs and anti-HBc markers? 2004 ·World Journal of Gastroenterology ·(unknown), Ying Guo, Changhong Yang, (unknown), Juan Chen, (unknown), (unknown), Xiaoming Jia, (unknown), (unknown)	1

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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