Haili Lang
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
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- CAR-T cell therapy research
- Polyomavirus and related diseases
Papers in
- Immunology 17
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 4
- Oncology 16
- CAR-T cell therapy research 13
- Co-authors
- Catherine M. Bollard (28 shared papers)Michael D. Keller (17 shared papers)Carolina Colli Cruz (13 shared papers)Patrick J. Hanley (19 shared papers)Christopher A. Lazarski (9 shared papers)John W. Chamberlain (2 shared papers)Celine D’Souza (2 shared papers)Samuel Darko (2 shared papers)
- Journals
- Cytotherapy (6 papers)Frontiers in Immunology (3 papers)Biology of Blood and Marrow Transplantation (3 papers)Neuro-Oncology (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Haili Lang
36 papers receiving 402 citations
Peers
Comparison fields: 5 of 48
- Immunology 153
- Oncology 152
- Genetics 79
- Infectious Diseases 49
- Epidemiology 85
Countries citing papers authored by Haili Lang
This map shows the geographic impact of Haili Lang'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 Haili Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haili Lang more than expected).
Fields of papers citing papers by Haili Lang
This network shows the impact of papers produced by Haili Lang. 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 Haili Lang. The network helps show where Haili Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haili Lang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 54 | |
| 2 | 2021 | 42 | |
| 3 | 2017 | 35 | |
| 4 | 2022 | 30 | |
| 5 | 2019 | 29 | |
| 6 | 2002 | 28 | |
| 7 | 2016 | 27 | |
| 8 | 2022 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2005 | 13 | |
| 11 | 2010 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 8 | |
| 14 | 2017 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2012 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2018 | 7 |
About Haili Lang
Haili Lang is a scholar working on Immunology, Oncology, Epidemiology, Genetics and Infectious Diseases, having authored 37 papers that have together received 406 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Immune Cell Function and Interaction (10 papers), Cytomegalovirus and herpesvirus research (7 papers), Immunotherapy and Immune Responses (7 papers), Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Immunology (153 citations), Oncology (152 citations), Genetics (79 citations), Infectious Diseases (49 citations) and Epidemiology (85 citations). Haili Lang has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Catherine M. Bollard, Michael D. Keller, Carolina Colli Cruz, Patrick J. Hanley, Christopher A. Lazarski, John W. Chamberlain, Celine D’Souza, Samuel Darko, Youan Liu and Fahmida Hoq. Their work appears in journals such as Cytotherapy, Frontiers in Immunology, Biology of Blood and Marrow Transplantation, Neuro-Oncology and Journal of Clinical Oncology.
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.