Xiaoying Jia
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Hematology top 2%
- Multiple Myeloma Research and Treatments
Papers in
- Genetics 23
- Chronic Lymphocytic Leukemia Research 23
- Hematology 17
- Multiple Myeloma Research and Treatments 10
- Co-authors
- Debiao HeKim‐Kwang Raymond ChooNeeraj KumarIrene M. GhobrialHai T. NgoAldo M. RoccaroXavier LeleuAntonio Sacco
- Journals
- Blood (24 papers)Clinical Cancer Research (5 papers)IEEE Internet of Things Journal (5 papers)Molecular & Cellular Proteomics (3 papers)Journal of Virology (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Xiaoying Jia
82 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 130
- Genetics 439
- Hematology 375
- Pathology and Forensic Medicine 390
- Cancer Research 317
- Molecular Biology 1.3k
Countries citing papers authored by Xiaoying Jia
This map shows the geographic impact of Xiaoying 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 Xiaoying Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Jia more than expected).
Fields of papers citing papers by Xiaoying Jia
This network shows the impact of papers produced by Xiaoying 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 Xiaoying Jia. The network helps show where Xiaoying Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoying Jia, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 25 | |
| 11 | 2020 | 17 | |
| 12 | 2017 | 2 | |
| 13 | 2015 | 42 | |
| 14 | 2013 | 371 | |
| 15 | 2012 | 38 | |
| 16 | 2009 | 15 | |
| 17 | 2009 | 3 | |
| 18 | 2009 | 3 | |
| 19 | 2008 | 17 | |
| 20 | Genetic analysis of West Nile New York 1999 encephalitis virus (vol 354, pg 1971, 1999) | 2000 | 19 |
About Xiaoying Jia
Xiaoying Jia is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Infectious Diseases and Cancer Research, having authored 83 papers that have together received 2.8k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (23 papers), Lymphoma Diagnosis and Treatment (14 papers), Cryptography and Data Security (11 papers), Multiple Myeloma Research and Treatments (10 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Mosquito-borne diseases and control (7 papers), Viral Infections and Outbreaks Research (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Genetics (439 citations), Hematology (375 citations), Pathology and Forensic Medicine (390 citations), Cancer Research (317 citations) and Molecular Biology (1.3k citations). Xiaoying Jia has collaborated with scholars based in United States, China and France. Frequent co-authors include Debiao He, Kim‐Kwang Raymond Choo, Neeraj Kumar, Irene M. Ghobrial, Hai T. Ngo, Aldo M. Roccaro, Xavier Leleu, Antonio Sacco, Kenneth C. Anderson and Judith Runnels. Their work appears in journals such as Blood, Clinical Cancer Research, IEEE Internet of Things Journal, Molecular & Cellular Proteomics and Journal of Virology.
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.