Lih‐Ling Lin
Impact in
- Immunology top 2%
- Immune Response and Inflammation
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Receptor Mechanisms and Signaling
Papers in
-
- NF-κB Signaling Pathways 19
- Immunology 18
- Immune Response and Inflammation 11
- interferon and immune responses 6
- Co-authors
- John L. KnopfAlice LinJames D. ClarkMarkus WartmannRoger J. DavisRonald KrizLisa A. SultzmanChakkodabylu S. Ramesha
- Journals
- Journal of Biological Chemistry (9 papers)Bioorganic & Medicinal Chemistry Letters (6 papers)The Journal of Immunology (6 papers)Scientific Reports (2 papers)Cell (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Lih‐Ling Lin
50 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 1.3k
- Molecular Biology 3.8k
- Biochemistry 344
- Cancer Research 691
- Cell Biology 645
Countries citing papers authored by Lih‐Ling Lin
This map shows the geographic impact of Lih‐Ling 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 Lih‐Ling Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lih‐Ling Lin more than expected).
Fields of papers citing papers by Lih‐Ling Lin
This network shows the impact of papers produced by Lih‐Ling 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 Lih‐Ling Lin. The network helps show where Lih‐Ling Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lih‐Ling 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 103 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 17 | |
| 7 | 2017 | 58 | |
| 8 | 2017 | 107 | |
| 9 | 2014 | 119 | |
| 10 | 2014 | 34 | |
| 11 | 2011 | 27 | |
| 12 | 2009 | 45 | |
| 13 | 2008 | 145 | |
| 14 | 2005 | 41 | |
| 15 | 2004 | 74 | |
| 16 | 2003 | 55 | |
| 17 | 2003 | 48 | |
| 18 | 2000 | 47 | |
| 19 | 1995 | 431 | |
| 20 | A novel arachidonic acid-selective cytosolic PLA2 contains a Ca2+-dependent translocation domain with homology to PKC and GAP Hit paper breakdown → | 1991 | 1487 |
About Lih‐Ling Lin
Lih‐Ling Lin is a scholar working on Cancer Research, Immunology, Rheumatology, Oncology and Molecular Biology, having authored 50 papers that have together received 6.0k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (19 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Immune Response and Inflammation (11 papers), Cytokine Signaling Pathways and Interactions (10 papers), Melanoma and MAPK Pathways (9 papers), interferon and immune responses (6 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Immunology (1.3k citations), Molecular Biology (3.8k citations), Biochemistry (344 citations), Cancer Research (691 citations) and Cell Biology (645 citations). Lih‐Ling Lin has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John L. Knopf, Alice Lin, James D. Clark, Markus Wartmann, Roger J. Davis, Ronald Kriz, Lisa A. Sultzman, Chakkodabylu S. Ramesha, Andrea R. Schievella and Eric A. Nalefski. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, The Journal of Immunology, Scientific Reports and Cell.
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.