Megan Smith
- Immunology top 5%
- Nutrition and Dietetics top 1%
- Molecular Biology
- Oncology top 5%
- Sensory Systems top 1%
- Co-authors
- Andrew M. ScharenbergCarsten SchmitzRochelle BuffensteinAnne‐Laure PerraudTomohiro KurosakiReinhold PennerAndrea FleigCatherine O. Johnson
- Topics
- Evolution and Paleontology Studies (5 papers)Genetics, Aging, and Longevity in Model Organisms (4 papers)Immune Cell Function and Interaction (4 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Megan Smith
21 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Immunology 598
- Nutrition and Dietetics 589
- Molecular Biology 577
- Oncology 499
- Sensory Systems 442
Countries citing papers authored by Megan Smith
This map shows the geographic impact of Megan Smith'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 Megan Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan Smith more than expected).
Fields of papers citing papers by Megan Smith
This network shows the impact of papers produced by Megan Smith. 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 Megan Smith. The network helps show where Megan Smith may publish in the future.
Co-authorship network of co-authors of Megan Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Megan Smith. A scholar is included among the top collaborators of Megan Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Megan Smith. Megan Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 16 | |
| 6 | 30 | |
| 7 | 34 | |
| 8 | 76 | |
| 9 | 167 | |
| 10 | 41 | |
| 11 | 7 | |
| 12 | The PD-1/PD-L1 axis modulates the natural killer cell versus multiple myeloma effect: a therapeutic target for CT-011, a novel monoclonal anti–PD-1 antibodybreakdown → | 660 |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 290 | |
| 17 | 98 | |
| 18 | Regulation of Vertebrate Cellular Mg2+ Homeostasis by TRPM7breakdown → | 613 |
| 19 | 52 | |
| 20 | Inherent ranges of seminal prolactin in pre- and postvasectomy subjects. | 5 |
About Megan Smith
Megan Smith is a scholar working on Aging, Paleontology and Physiology, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Sensory Systems (442 citations), Aging (134 citations) and Nutrition and Dietetics (589 citations). Megan Smith has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Andrew M. Scharenberg, Carsten Schmitz, Rochelle Buffenstein, Anne‐Laure Perraud, Tomohiro Kurosaki, Reinhold Penner, Andrea Fleig, Catherine O. Johnson, Kazunori Inabe and J. Graham Ruby. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Communications.
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.