Lisa M. Smith
- Plant Science top 1%
- Molecular Biology top 5%
- Genetics
- Ecology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Detlef WeigelDavid C. BaulcombeJurriaan TonAna López SánchezFelix OttLeonardo FurciIain SearleOlga Pontes
- Topics
- Plant Molecular Biology Research (20 papers)Plant Reproductive Biology (9 papers)Marine Biology and Ecology Research (7 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Lisa M. Smith
49 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 104
- Plant Science 1.8k
- Molecular Biology 1.4k
- Genetics 172
- Ecology 140
- Ecology, Evolution, Behavior and Systematics 138
Countries citing papers authored by Lisa M. Smith
This map shows the geographic impact of Lisa M. 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 Lisa M. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa M. Smith more than expected).
Fields of papers citing papers by Lisa M. Smith
This network shows the impact of papers produced by Lisa M. 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 Lisa M. Smith. The network helps show where Lisa M. Smith may publish in the future.
Co-authorship network of co-authors of Lisa M. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Smith. A scholar is included among the top collaborators of Lisa M. 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 Lisa M. Smith. Lisa M. 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 | 30 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 78 | |
| 5 | 55 | |
| 6 | Role of killer-associated protein NKG7 in NK and NKT cells | 1 |
| 7 | 8 | |
| 8 | 47 | |
| 9 | 23 | |
| 10 | 49 | |
| 11 | 96 | |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 226 | |
| 15 | Early infiltration of allografts by a subset of host mononuclear cells bearing inhibitory Ly49 receptors determines development of allograft rejection or tolerance. | 1 |
| 16 | OBSERVATION ON THE TAXONOMIC STATUS OF ANOPHELES SUBALPINUS HACKETT AND LEWIS AND AN. MELANOON HACKETT | 33 |
| 17 | New occurrence records for Anopheles maculipennis and An. messeae in northern Greece based on DNA sequence data | 19 |
| 18 | 168 | |
| 19 | Dicamba activity on horsenettle. | 1 |
| 20 | Japygidae of South Americap 3c Japygidae of Chile | 0 |
About Lisa M. Smith
Lisa M. Smith is a scholar working on Plant Science, Virology and Oceanography, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (20 papers), Plant Reproductive Biology (9 papers) and Marine Biology and Ecology Research (7 papers). The work is most often cited by research in Plant Science (1.8k citations), Molecular Biology (1.4k citations) and Horticulture (10 citations). Lisa M. Smith has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Detlef Weigel, David C. Baulcombe, Jurriaan Ton, Ana López Sánchez, Felix Ott, Leonardo Furci, Iain Searle, Olga Pontes, Joost Stassen and Nataliya E. Yelina. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.