Ruby M. Lam
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Physiology top 5%
- Erythrocyte Function and Pathophysiology
- Pain Mechanisms and Treatments
Papers in ⓘ
-
- Erythrocyte Function and Pathophysiology 7
- Pain Mechanisms and Treatments 2
- Thermoregulation and physiological responses 2
- Co-authors
- Alexander T. Chesler (9 shared papers)Marcin Szczot (5 shared papers)Alec R. Nickolls (3 shared papers)Carsten G. Bönnemann (5 shared papers)Nima Ghitani (2 shared papers)Dimah Saade (3 shared papers)Lars J. von Buchholtz (3 shared papers)Nicholas J. P. Ryba (3 shared papers)
- Journals
- Science Translational Medicine (1 paper)Pain (1 paper)Advances in experimental medicine and biology (1 paper)Science (1 paper)Cells (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Ruby M. Lam
9 papers receiving 527 citations
Peers
Comparison fields: 5 of 74
- Sensory Systems 80
- Physiology 377
- Biophysics 45
- Cellular and Molecular Neuroscience 87
- Endocrine and Autonomic Systems 31
Countries citing papers authored by Ruby M. Lam
This map shows the geographic impact of Ruby M. Lam'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 Ruby M. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby M. Lam more than expected).
Fields of papers citing papers by Ruby M. Lam
This network shows the impact of papers produced by Ruby M. Lam. 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 Ruby M. Lam. The network helps show where Ruby M. Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruby M. Lam, 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 | 2018 | 212 | |
| 2 | 2021 | 99 | |
| 3 | 2023 | 61 | |
| 4 | 2020 | 51 | |
| 5 | 2020 | 47 | |
| 6 | 2020 | 28 | |
| 7 | 2023 | 26 | |
| 8 | 2022 | 5 | |
| 9 | 2019 | 1 | |
| 10 | 2025 | 0 |
About Ruby M. Lam
Ruby M. Lam is a scholar working on Sensory Systems, Physiology, Behavioral Neuroscience, Biophysics and Paleontology, having authored 10 papers that have together received 530 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (7 papers), Ion channel regulation and function (3 papers), Pain Mechanisms and Treatments (2 papers), Thermoregulation and physiological responses (2 papers), Cellular Mechanics and Interactions (2 papers), Single-cell and spatial transcriptomics (1 paper), Chemical and Physical Studies (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Sensory Systems (80 citations), Physiology (377 citations), Biophysics (45 citations), Cellular and Molecular Neuroscience (87 citations) and Endocrine and Autonomic Systems (31 citations). Ruby M. Lam has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Alexander T. Chesler, Marcin Szczot, Alec R. Nickolls, Carsten G. Bönnemann, Nima Ghitani, Dimah Saade, Lars J. von Buchholtz, Nicholas J. P. Ryba, Jaquette Liljencrantz and M. Catherine Bushnell. Their work appears in journals such as Science Translational Medicine, Pain, Advances in experimental medicine and biology, Science and Cells.
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.