Maria Lim
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
-
- Stress Responses and Cortisol
Papers in
-
- Neuropeptides and Animal Physiology 2
- Co-authors
- Robert G. Kalb (2 shared papers)Mary Selak (1 shared paper)Z. Xiang (1 shared paper)Rachael L. Neve (1 shared paper)Jennifer L. Watts (1 shared paper)Dimitri Krainc (1 shared paper)Brian C. Kraemer (1 shared paper)Laura Schaevitz (7 shared papers)
- Journals
- Experimental Neurology (1 paper)Endocrinology (1 paper)Journal of Neuroscience (1 paper)PLoS Genetics (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Maria Lim
19 papers receiving 321 citations
Peers
Comparison fields: 5 of 73
- Aging 28
- Behavioral Neuroscience 29
- Neurology 86
- Genetics 45
- Endocrine and Autonomic Systems 28
Countries citing papers authored by Maria Lim
This map shows the geographic impact of Maria 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 Maria Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Lim more than expected).
Fields of papers citing papers by Maria Lim
This network shows the impact of papers produced by Maria 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 Maria Lim. The network helps show where Maria Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria 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 | 2012 | 84 | |
| 2 | 2008 | 43 | |
| 3 | 2009 | 32 | |
| 4 | 2017 | 29 | |
| 5 | 2014 | 27 | |
| 6 | 2008 | 27 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2007 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2018 | 5 | |
| 14 | 2016 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2017 | 1 |
About Maria Lim
Maria Lim is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology, Endocrine and Autonomic Systems and Aging, having authored 19 papers that have together received 331 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (3 papers), Neuroendocrine regulation and behavior (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neuropeptides and Animal Physiology (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Animal testing and alternatives (2 papers). The work is most often cited by research in Aging (28 citations), Behavioral Neuroscience (29 citations), Neurology (86 citations), Genetics (45 citations) and Endocrine and Autonomic Systems (28 citations). Maria Lim has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Robert G. Kalb, Mary Selak, Z. Xiang, Rachael L. Neve, Jennifer L. Watts, Dimitri Krainc, Brian C. Kraemer, Laura Schaevitz, Conor M. Stack and Joanna M. Hill. Their work appears in journals such as Experimental Neurology, Endocrinology, Journal of Neuroscience, PLoS Genetics and Human Molecular Genetics.
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.