Heather Hoover

3.7k total citations · 1 hit paper
17 papers, 2.3k citations indexed

About

Heather Hoover is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Heather Hoover has authored 17 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Pharmacology and 5 papers in Oncology. Recurrent topics in Heather Hoover's work include Cannabis and Cannabinoid Research (4 papers), Microbial Natural Products and Biosynthesis (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Heather Hoover is often cited by papers focused on Cannabis and Cannabinoid Research (4 papers), Microbial Natural Products and Biosynthesis (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Heather Hoover collaborates with scholars based in United States, Germany and China. Heather Hoover's co-authors include Sherry Niessen, Benjamin F. Cravatt, Jonathan Z. Long, Daniel K. Nomura, Shu‐Wing Ng, Jacqueline L. Blankman, Stephan A. Sieber, Alexander Adibekian, Daniel A. Bachovchin and Weijie Lan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Heather Hoover

17 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Monoacylglycerol Lipase Regulates a Fatty Acid Network that Promotes Cancer Pathogenesis

2009 768 citations Daniel K. Nomura, Jonathan Z. Long et al. Cell profile →

Peers

Heather Hoover

PHARM

ONCOL

Emmanuelle J. Meuillet United States

Christoph Schächtele Germany

Curtis L. Ashendel United States

Yi Huang United States

Régis Delage-Mourroux France

Sandra E. Wilkinson United Kingdom

Brian Soreghan United States

Mauro Salvi Italy

B. Therese Kinsella Ireland

Abderrahmane Kaidi United Kingdom

Emmanuelle J. Meuillet United States

Heather Hoover

1.7k ×1.1

244 ×0.5

263 ×0.6

PHARM

334 ×0.9

ONCOL

331 ×0.9

Citations per year, relative to Heather Hoover Heather Hoover (= 1×) peers Emmanuelle J. Meuillet

Countries citing papers authored by Heather Hoover

Since Specialization

Citations

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

Fields of papers citing papers by Heather Hoover

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather Hoover. 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 Heather Hoover. The network helps show where Heather Hoover may publish in the future.

Co-authorship network of co-authors of Heather Hoover

This figure shows the co-authorship network connecting the top 25 collaborators of Heather Hoover. A scholar is included among the top collaborators of Heather Hoover 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 Heather Hoover. Heather Hoover is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Huang, Linfeng, Padraig Deighan, Jingmin Jin, et al.. (2020). Tombusvirus p19 Captures RNase III-Cleaved Double-Stranded RNAs Formed by Overlapping Sense and Antisense Transcripts in Escherichia coli. mBio. 11(3). 5 indexed citations

Hoover, Heather, Jun Li, Jason Marchese, et al.. (2015). Quantitative Proteomic Verification of Membrane Proteins as Potential Therapeutic Targets Located in the 11q13 Amplicon in Cancers. Journal of Proteome Research. 14(9). 3670–3679. 10 indexed citations

Yu, Peter T., Michele Babicky, Dawn Jaquish, et al.. (2012). The RON‐receptor regulates pancreatic cancer cell migration through phosphorylation‐dependent breakdown of the hemidesmosome. International Journal of Cancer. 131(8). 1744–1754. 42 indexed citations

Niessen, Sherry, Heather Hoover, & Andrew J. Gale. (2011). Proteomic analysis of the coagulation reaction in plasma and whole blood using PROTOMAP. PROTEOMICS. 11(12). 2377–2388. 19 indexed citations

Wang, Biao, Sherry Niessen, Heather Hoover, et al.. (2011). A Hormone-Dependent Module Regulating Energy Balance. Cell. 145(4). 596–606. 186 indexed citations

Yu, Peter T., David J. Shields, Randall P. French, et al.. (2011). IGF1-R signals through the RON receptor to mediate pancreatic cancer cell migration. Carcinogenesis. 32(8). 1151–1156. 37 indexed citations

Adibekian, Alexander, Brent R. Martin, Chu Wang, et al.. (2011). Click-generated triazole ureas as ultrapotent in vivo–active serine hydrolase inhibitors. Nature Chemical Biology. 7(7). 469–478. 201 indexed citations

Chun, Hyun Bae, Michael M. Scott, Sherry Niessen, et al.. (2011). The Proteome of Mouse Brain Microvessel Membranes and Basal Lamina. Journal of Cerebral Blood Flow & Metabolism. 31(12). 2267–2281. 43 indexed citations

Jones, Adam C., Emily A. Monroe, Sheila Podell, et al.. (2011). Genomic insights into the physiology and ecology of the marine filamentous cyanobacterium Lyngbya majuscula. Proceedings of the National Academy of Sciences. 108(21). 8815–8820. 80 indexed citations

10.

Holland, Andrew J., Weijie Lan, Sherry Niessen, Heather Hoover, & Don W. Cleveland. (2010). Polo-like kinase 4 kinase activity limits centrosome overduplication by autoregulating its own stability. The Journal of Cell Biology. 188(2). 191–198. 217 indexed citations

11.

Bachovchin, Daniel A., Weiwei Li, Gabriel M. Simon, et al.. (2010). Superfamily-wide portrait of serine hydrolase inhibition achieved by library-versus-library screening. Proceedings of the National Academy of Sciences. 107(49). 20941–20946. 214 indexed citations

12.

Nomura, Daniel K., Jonathan Z. Long, Sherry Niessen, et al.. (2009). Monoacylglycerol Lipase Regulates a Fatty Acid Network that Promotes Cancer Pathogenesis. Cell. 140(1). 49–61. 768 indexed citations breakdown →

13.

Kaschani, Farnusch, Christian Gu, Sherry Niessen, et al.. (2009). Diversity of Serine Hydrolase Activities of Unchallenged and Botrytis-infected Arabidopsis thaliana. Molecular & Cellular Proteomics. 8(5). 1082–1093. 83 indexed citations

14.

Meier, Jordan L., Sherry Niessen, Heather Hoover, et al.. (2009). An Orthogonal Active Site Identification System (OASIS) for Proteomic Profiling of Natural Product Biosynthesis. ACS Chemical Biology. 4(11). 948–957. 47 indexed citations

15.

Hoover, Heather, Jacqueline L. Blankman, Sherry Niessen, & Benjamin F. Cravatt. (2008). Selectivity of inhibitors of endocannabinoid biosynthesis evaluated by activity-based protein profiling. Bioorganic & Medicinal Chemistry Letters. 18(22). 5838–5841. 117 indexed citations

16.

Romero, F. Anthony, Wu Du, Inkyu Hwang, et al.. (2007). Potent and Selective α-Ketoheterocycle-Based Inhibitors of the Anandamide and Oleamide Catabolizing Enzyme, Fatty Acid Amide Hydrolase. Journal of Medicinal Chemistry. 50(5). 1058–1068. 67 indexed citations

17.

Sieber, Stephan A., Sherry Niessen, Heather Hoover, & Benjamin F. Cravatt. (2006). Proteomic profiling of metalloprotease activities with cocktails of active-site probes. Nature Chemical Biology. 2(5). 274–281. 209 indexed citations

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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