Howard Li
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Biotechnology top 5%
- Cancer Research and Treatments
Papers in
-
- Epigenetics and DNA Methylation 4
- Oncology 11
- Cancer Immunotherapy and Biomarkers 7
- Co-authors
- Raphael A. Nemenoff (22 shared papers)Jeff Hasty (2 shared papers)Arthur Prindle (2 shared papers)Joanna M. Poczobutt (11 shared papers)Mary C. Weiser-Evans (11 shared papers)Matthew Skalak (1 shared paper)Gabriel A. Kwong (1 shared paper)Tal Danino (1 shared paper)
- Journals
- Cancers (3 papers)The Journal of Immunology (3 papers)Cancer Research (3 papers)PLoS ONE (2 papers)Cancer Immunology Research (2 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Howard Li
48 papers receiving 1.9k citations
Howard Li's Hit Papers
Peers
Comparison fields: 5 of 113
- Oncology 520
- Biotechnology 178
- Immunology 397
- Cancer Research 265
- Molecular Biology 945
Countries citing papers authored by Howard Li
This map shows the geographic impact of Howard Li'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 Howard Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard Li more than expected).
Fields of papers citing papers by Howard Li
This network shows the impact of papers produced by Howard Li. 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 Howard Li. The network helps show where Howard Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Howard Li, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Programmable probiotics for detection of cancer in urine Hit paper breakdown → | 2015 | 320 |
| 2 | 2014 | 151 | |
| 3 | 2014 | 136 | |
| 4 | 2017 | 135 | |
| 5 | 2015 | 128 | |
| 6 | 2017 | 104 | |
| 7 | 2020 | 88 | |
| 8 | 2016 | 81 | |
| 9 | 2011 | 66 | |
| 10 | 2015 | 62 | |
| 11 | 2012 | 52 | |
| 12 | 2013 | 51 | |
| 13 | 2007 | 47 | |
| 14 | 2014 | 46 | |
| 15 | 2023 | 45 | |
| 16 | 2008 | 43 | |
| 17 | 2023 | 40 | |
| 18 | 2019 | 39 | |
| 19 | 2020 | 38 | |
| 20 | 2010 | 35 |
About Howard Li
Howard Li is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Immune cells in cancer (6 papers), Cancer, Stress, Anesthesia, and Immune Response (5 papers), Cancer Research and Treatments (5 papers), Epigenetics and DNA Methylation (4 papers), Immunotherapy and Immune Responses (4 papers), Inflammatory mediators and NSAID effects (4 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). The work is most often cited by research in Oncology (520 citations), Biotechnology (178 citations), Immunology (397 citations), Cancer Research (265 citations) and Molecular Biology (945 citations). Howard Li has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Raphael A. Nemenoff, Jeff Hasty, Arthur Prindle, Joanna M. Poczobutt, Mary C. Weiser-Evans, Matthew Skalak, Gabriel A. Kwong, Tal Danino, Kaitlin Allen and Sangeeta N. Bhatia. Their work appears in journals such as Cancers, The Journal of Immunology, Cancer Research, PLoS ONE and Cancer Immunology Research.
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.