Megan E. Laurance

1.6k citations
9 papers · 1.4k indexed · 1 hit paper · h-index 8

Megan E. Laurance

9 papers receiving 1.4k citations

Hit Papers

Adenoviral ElA-associated protein p300 as a functional ho...5311995202620052015100200300400500

Peers

Megan E. Laurance
Comparison fields: 5 of 95
  • Agronomy and Crop Science 270
  • Immunology 417
  • Ecology, Evolution, Behavior and Systematics 260
  • Genetics 374
  • Reproductive Medicine 110
Replace Paul J. Laybourn with:
Paul J. Laybourn United States
K Tanabe Japan
Jennifer K. Nyborg United States
J Arnemann Germany
C. Chen United States
Jean-Luc Vilotte France
Sokhavuth Sar France
William R. Moyle United States
Nitzan Shabek United States
Toshihiro Sekimoto Japan
Megan E. Laurance relative to Paul J. Laybourn United States Paul J. Laybourn's profile →
Citations per field
00.5×6.9×
Paul J. Laybourn · 1×
Citations per year

Countries citing papers authored by Megan E. Laurance

Since Specialization
Citations

This map shows the geographic impact of Megan E. Laurance'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 E. Laurance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan E. Laurance more than expected).

Fields of papers citing papers by Megan E. Laurance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan E. Laurance. 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 E. Laurance. The network helps show where Megan E. Laurance may publish in the future.

Co-authorship network

The 20 scholars most cited alongside Megan E. Laurance, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Megan E. Laurance Line = papers co-authored together Megan E. Laurance links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20019
2 20003
3 199863
4 199741
5 1996313
6 1996196
7 1995193
8
Adenoviral ElA-associated protein p300 as a functional homologue of the transcriptional co-activator CBPbreakdown →
1995531
9 199486

About Megan E. Laurance

Megan E. Laurance is a scholar working on Aging, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), Animal Disease Management and Epidemiology (3 papers), Vector-Borne Animal Diseases (3 papers), Pancreatic and Hepatic Oncology Research (1 paper), Estrogen and related hormone effects (1 paper), CRISPR and Genetic Engineering (1 paper), Retinoids in leukemia and cellular processes (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Agronomy and Crop Science (270 citations), Immunology (417 citations) and Ecology, Evolution, Behavior and Systematics (260 citations). Megan E. Laurance has collaborated with scholars based in United States. Frequent co-authors include Richard H. Goodman, James R. Lundblad, Roland P.S. Kwok, Marian L. Harter, Susan J. Marriott, Richard A. Maurer, A. Misra-Press, Hsiu‐Ming Shih, Philip A. Stork and Phyllis S. Goldman. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

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.

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