Daniel Lin
Impact in
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- NF-κB Signaling Pathways
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- Gut microbiota and health
- Ubiquitin and proteasome pathways
Papers in
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- Hepatocellular Carcinoma Treatment and Prognosis 5
- Oncology 6
- Cancer Immunotherapy and Biomarkers 3
- Global Cancer Incidence and Screening 1
- Co-authors
- George Miller (1 shared paper)Rashmi R. Sinha (1 shared paper)James J. Goedert (1 shared paper)Brandilyn A. Peters (1 shared paper)Jiyoung Ahn (1 shared paper)Daniel Jacob Becker (2 shared papers)Richard B. Hayes (1 shared paper)Charles Friedlander (1 shared paper)
- Journals
- Gastric Cancer (2 papers)Cancer (2 papers)EClinicalMedicine (1 paper)Nature Immunology (1 paper)Genes (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Daniel Lin
20 papers receiving 351 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 46
- Molecular Biology 119
- Hepatology 13
- Immunology 28
- Oncology 30
Countries citing papers authored by Daniel Lin
This map shows the geographic impact of Daniel 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 Daniel Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lin more than expected).
Fields of papers citing papers by Daniel Lin
This network shows the impact of papers produced by Daniel 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 Daniel Lin. The network helps show where Daniel Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 88 | |
| 2 | 2017 | 54 | |
| 3 | 2018 | 41 | |
| 4 | 2019 | 41 | |
| 5 | 2017 | 29 | |
| 6 | 2018 | 28 | |
| 7 | 2005 | 16 | |
| 8 | 2014 | 10 | |
| 9 | 2014 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2015 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2020 | 1 |
About Daniel Lin
Daniel Lin is a scholar working on Hepatology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 361 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Treatments and Mutations (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Gastric Cancer Management and Outcomes (2 papers), NF-κB Signaling Pathways (2 papers), Economic and Financial Impacts of Cancer (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Cancer Research (46 citations), Molecular Biology (119 citations), Hepatology (13 citations), Immunology (28 citations) and Oncology (30 citations). Daniel Lin has collaborated with scholars based in United States, China and France. Frequent co-authors include George Miller, Rashmi R. Sinha, James J. Goedert, Brandilyn A. Peters, Jiyoung Ahn, Daniel Jacob Becker, Richard B. Hayes, Charles Friedlander, Scott E. Sherman and Heather Taffet Gold. Their work appears in journals such as Gastric Cancer, Cancer, EClinicalMedicine, Nature Immunology and Genes.
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.