Ningjing Lin
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 39
- Oncology 23
- Viral-associated cancers and disorders 10
- CAR-T cell therapy research 8
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Darell D. Bigner (4 shared papers)Chunhui Di (4 shared papers)Okezie Obasi Kanu (3 shared papers)Ankit I. Mehta (2 shared papers)Cory Adamson (2 shared papers)Austin K. Mattox (1 shared paper)Wen Zheng (34 shared papers)Xiaopei Wang (32 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)Blood (4 papers)Annals of Hematology (3 papers)Cancer Cell International (2 papers)BMC Medicine (1 paper)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Ningjing Lin
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Genetics 312
- Pathology and Forensic Medicine 361
- Oncology 477
- Cancer Research 162
- Immunology 223
Countries citing papers authored by Ningjing Lin
This map shows the geographic impact of Ningjing Lin'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 Ningjing Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningjing Lin more than expected).
Fields of papers citing papers by Ningjing Lin
This network shows the impact of papers produced by Ningjing Lin. 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 Ningjing Lin. The network helps show where Ningjing Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ningjing Lin, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 421 | |
| 2 | 2009 | 137 | |
| 3 | 2019 | 119 | |
| 4 | 2009 | 114 | |
| 5 | 2008 | 89 | |
| 6 | 2013 | 59 | |
| 7 | 2015 | 57 | |
| 8 | 2020 | 50 | |
| 9 | 2005 | 42 | |
| 10 | 2023 | 35 | |
| 11 | 2012 | 33 | |
| 12 | 2016 | 31 | |
| 13 | 2020 | 27 | |
| 14 | 2018 | 24 | |
| 15 | 2019 | 24 | |
| 16 | 2018 | 12 | |
| 17 | 2013 | 11 | |
| 18 | 2017 | 9 | |
| 19 | 2015 | 8 | |
| 20 | [An analysis of hepatitis B virus infection rate in 405 cases of non-Hodgkin lymphoma]. | 2011 | 8 |
About Ningjing Lin
Ningjing Lin is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Immunology and Molecular Biology, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (39 papers), Viral-associated cancers and disorders (10 papers), CAR-T cell therapy research (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Genetics (312 citations), Pathology and Forensic Medicine (361 citations), Oncology (477 citations), Cancer Research (162 citations) and Immunology (223 citations). Ningjing Lin has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Darell D. Bigner, Chunhui Di, Okezie Obasi Kanu, Ankit I. Mehta, Cory Adamson, Austin K. Mattox, Wen Zheng, Xiaopei Wang, Yan Xie and Jun Zhu. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Hematology, Cancer Cell International and BMC 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.