Susan E. Lott
Impact in
- Aging top 10%
-
- Genomics and Chromatin Dynamics
- Developmental Biology and Gene Regulation
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
-
- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 4
- Developmental Biology and Gene Regulation 4
- Genomics and Phylogenetic Studies 3
- Genetics 7
- Genetic diversity and population structure 5
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
- Co-authors
- Michael B. Eisen (5 shared papers)Jacqueline E. Villalta (4 shared papers)Shujun Luo (1 shared paper)Leath A. Tonkin (1 shared paper)Gary P. Schroth (1 shared paper)Michael Ludwig (3 shared papers)Martin Kreitman (3 shared papers)Mathilde Paris (2 shared papers)
- Journals
- PLoS Genetics (6 papers)Evolution (3 papers)PLoS Biology (1 paper)BMC Genomics (1 paper)Genetics (1 paper)
- Partner nations
- United StatesSwedenIsrael
In The Last Decade
Susan E. Lott
15 papers receiving 489 citations
Peers
Comparison fields: 5 of 57
- Aging 35
- Molecular Biology 394
- Genetics 149
- Plant Science 107
- Insect Science 30
Countries citing papers authored by Susan E. Lott
This map shows the geographic impact of Susan E. Lott'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 Susan E. Lott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan E. Lott more than expected).
Fields of papers citing papers by Susan E. Lott
This network shows the impact of papers produced by Susan E. Lott. 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 Susan E. Lott. The network helps show where Susan E. Lott may publish in the future.
Co-authors
The 22 scholars most cited alongside Susan E. Lott, 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 | 2011 | 153 | |
| 2 | 2007 | 73 | |
| 3 | 2013 | 69 | |
| 4 | 2013 | 51 | |
| 5 | 2010 | 37 | |
| 6 | 2000 | 21 | |
| 7 | 2014 | 18 | |
| 8 | 2015 | 18 | |
| 9 | 2018 | 17 | |
| 10 | 2018 | 11 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2010 | 6 | |
| 14 | 2019 | 2 | |
| 15 | 2022 | 2 |
About Susan E. Lott
Susan E. Lott is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 491 indexed citations. Recurring topics across this work include Genetic diversity and population structure (5 papers), Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (4 papers), Developmental Biology and Gene Regulation (4 papers), Genomics and Phylogenetic Studies (3 papers), Physiological and biochemical adaptations (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Aging (35 citations), Molecular Biology (394 citations), Genetics (149 citations), Plant Science (107 citations) and Insect Science (30 citations). Susan E. Lott has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include Michael B. Eisen, Jacqueline E. Villalta, Shujun Luo, Leath A. Tonkin, Gary P. Schroth, Michael Ludwig, Martin Kreitman, Mathilde Paris, Е. А. Алексеева and Arnar Pálsson. Their work appears in journals such as PLoS Genetics, Evolution, PLoS Biology, BMC Genomics and 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.