Lin Su
Impact in
- Environmental Chemistry top 10%
- Arsenic contamination and mitigation
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
-
- Epigenetics and DNA Methylation 3
- DNA Repair Mechanisms 2
- Ubiquitin and proteasome pathways 1
- Bioactive Natural Diterpenoids Research 1
-
- Immune cells in cancer 6
- Immune Cell Function and Interaction 2
- Co-authors
- Elizabeth T. Snow (4 shared papers)Yu Hu (1 shared paper)Catherine B. Klein (3 shared papers)Benoit St‐Pierre (1 shared paper)John Kingdom (1 shared paper)Martha Hughes (1 shared paper)James C. Cross (1 shared paper)Ian C. Scott (1 shared paper)
- Journals
- Phytomedicine (2 papers)Journal of Ethnopharmacology (2 papers)Environmental Health Perspectives (2 papers)Cancer Letters (1 paper)Developmental Biology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Lin Su
30 papers receiving 642 citations
Peers
Comparison fields: 5 of 87
- Environmental Chemistry 95
- Obstetrics and Gynecology 50
- Cancer Research 101
- Health, Toxicology and Mutagenesis 92
- Molecular Biology 357
Countries citing papers authored by Lin Su
This map shows the geographic impact of Lin Su'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 Lin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Su more than expected).
Fields of papers citing papers by Lin Su
This network shows the impact of papers produced by Lin Su. 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 Lin Su. The network helps show where Lin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Su, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 144 | |
| 2 | 2004 | 125 | |
| 3 | 2002 | 54 | |
| 4 | 2023 | 38 | |
| 5 | 1996 | 32 | |
| 6 | 2012 | 26 | |
| 7 | 1994 | 25 | |
| 8 | 2000 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2020 | 22 | |
| 11 | 2020 | 18 | |
| 12 | 2024 | 15 | |
| 13 | 2018 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2014 | 14 | |
| 16 | 2005 | 11 | |
| 17 | 1997 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2019 | 7 |
About Lin Su
Lin Su is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Genetics, having authored 33 papers that have together received 660 indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Epigenetics and DNA Methylation (3 papers), DNA Repair Mechanisms (2 papers), Cancer Genomics and Diagnostics (2 papers), Immune Cell Function and Interaction (2 papers), Lung Cancer Treatments and Mutations (2 papers), Ubiquitin and proteasome pathways (1 paper) and Bioactive Natural Diterpenoids Research (1 paper). The work is most often cited by research in Environmental Chemistry (95 citations), Obstetrics and Gynecology (50 citations), Cancer Research (101 citations), Health, Toxicology and Mutagenesis (92 citations) and Molecular Biology (357 citations). Lin Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Elizabeth T. Snow, Yu Hu, Catherine B. Klein, Benoit St‐Pierre, John Kingdom, Martha Hughes, James C. Cross, Ian C. Scott, Sean E. Egan and Joanna Leszczyńska. Their work appears in journals such as Phytomedicine, Journal of Ethnopharmacology, Environmental Health Perspectives, Cancer Letters and Developmental Biology.
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.