Daniel Lim
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 3
- Cell Biology top 1%
- Microtubule and mitosis dynamics 7
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 4
- Photosynthetic Processes and Mechanisms 3
- Aging top 5%
- Parasitology top 5%
- Toxoplasma gondii Research Studies 3
-
- Autophagy in Disease and Therapy 3
-
- Bacterial Genetics and Biotechnology 3
- Co-authors
- N.C.J. StrynadkaMichael B. YaffeDavid M. SabatiniSeong A. KangKathleen OttinaNathanael S. GrayDrew M. LoweryYi Zhang
- Journals
- Nature Structural & Molecular Biology (3 papers)Science (3 papers)Journal of Molecular Biology (3 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Daniel Lim
34 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Medicine 323
- Cell Biology 963
- Molecular Biology 3.0k
- Aging 58
- Parasitology 184
Countries citing papers authored by Daniel Lim
This map shows the geographic impact of Daniel Lim'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 Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lim more than expected).
Fields of papers citing papers by Daniel Lim
This network shows the impact of papers produced by Daniel Lim. 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 Lim. The network helps show where Daniel Lim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Lim, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2022 | 6 | |
| 5 | 2020 | 22 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 28 | |
| 8 | 2019 | 96 | |
| 9 | Activation of the Yeast Hippo Pathway by Phosphorylation-Dependent Assembly of Signaling Complexes | 2013 | 84 |
| 10 | mTORC1 Phosphorylation Sites Encode Their Sensitivity to Starvation and Rapamycin | 2013 | 349 |
| 11 | 2007 | 231 | |
| 12 | 2006 | 77 | |
| 13 | 2005 | 243 | |
| 14 | 2004 | 166 | |
| 15 | 2003 | 399 | |
| 16 | 2002 | 262 | |
| 17 | 2002 | 2 | |
| 18 | 2002 | 351 | |
| 19 | 2002 | 114 | |
| 20 | 2001 | 73 |
About Daniel Lim
Daniel Lim is a scholar working on Cell Biology, Molecular Medicine and Parasitology, having authored 38 papers that have together received 4.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Mitochondrial Function and Pathology (4 papers), Ubiquitin and proteasome pathways (4 papers), Toxoplasma gondii Research Studies (3 papers), Antibiotic Resistance in Bacteria (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Autophagy in Disease and Therapy (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Molecular Medicine (323 citations), Cell Biology (963 citations) and Molecular Biology (3.0k citations). Daniel Lim has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include N.C.J. Strynadka, Michael B. Yaffe, David M. Sabatini, Seong A. Kang, Kathleen Ottina, Nathanael S. Gray, Drew M. Lowery, Yi Zhang, Jonathan Rameseder and Peggy P. Hsu. Their work appears in journals such as Nature Structural & Molecular Biology, Science, Journal of Molecular Biology, Journal of Biological Chemistry and Science Signaling.
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.