Melissa Standley

444 total citations
17 papers, 324 citations indexed

About

Melissa Standley is a scholar working on Molecular Biology, Genetics and Obstetrics and Gynecology. According to data from OpenAlex, Melissa Standley has authored 17 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Obstetrics and Gynecology. Recurrent topics in Melissa Standley's work include Bacterial Genetics and Biotechnology (4 papers), Pregnancy and preeclampsia studies (3 papers) and CRISPR and Genetic Engineering (3 papers). Melissa Standley is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Pregnancy and preeclampsia studies (3 papers) and CRISPR and Genetic Engineering (3 papers). Melissa Standley collaborates with scholars based in United States, Finland and Spain. Melissa Standley's co-authors include Srinivasa R. Nagalla, Xinfang Lu, Patrick Pattee, Paturi Vishnupriya Rao, Charles T. Roberts, Ashok P. Reddy, Thomas Jacob, Manel Camps, Jorge E. Tolosa and Anneli Pouta and has published in prestigious journals such as Nature Cell Biology, Diabetes Care and Journal of Bacteriology.

In The Last Decade

Melissa Standley

17 papers receiving 316 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Melissa Standley United States 10 131 68 67 48 39 17 324
Kristen K. Evans United States 14 216 1.6× 14 0.2× 42 0.6× 15 0.3× 132 3.4× 27 494
Régis Périchon United States 10 193 1.5× 14 0.2× 52 0.8× 5 0.1× 14 0.4× 11 422
Ahsan Rizwan Germany 7 93 0.7× 8 0.1× 45 0.7× 12 0.3× 85 2.2× 12 342
Sonne R. Srinivas United States 10 213 1.6× 5 0.1× 16 0.2× 18 0.4× 42 1.1× 10 404
Nibhriti Das India 12 61 0.5× 6 0.1× 40 0.6× 9 0.2× 12 0.3× 39 464
Ingrid A. Martini Netherlands 12 116 0.9× 27 0.4× 5 0.1× 17 0.4× 107 2.7× 19 555
Beatrice States United States 15 195 1.5× 9 0.1× 26 0.4× 10 0.2× 163 4.2× 42 600
Justin M. Cole United States 12 230 1.8× 8 0.1× 23 0.3× 9 0.2× 16 0.4× 18 628
Eric J. Norman United States 6 77 0.6× 16 0.2× 8 0.1× 15 0.3× 22 0.6× 13 282
H Nanri Japan 11 259 2.0× 11 0.2× 6 0.1× 111 2.3× 115 2.9× 15 521

Countries citing papers authored by Melissa Standley

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Standley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Standley

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

All Works

17 of 17 papers shown
1.
Standley, Melissa, Vincent Blay, Violeta Beleva Guthrie, et al.. (2022). Experimental and In Silico Analysis of TEM β-Lactamase Adaptive Evolution. ACS Infectious Diseases. 8(12). 2451–2463. 2 indexed citations
2.
Tsai, Wan‐Chen, Nathaniel C. Gilbert, Steve Perry, et al.. (2021). Kinetic and structural investigations of novel inhibitors of human epithelial 15-lipoxygenase-2. Bioorganic & Medicinal Chemistry. 46. 116349–116349. 19 indexed citations
3.
Yamaguchi, Adriana, Cody J. Freedman, Melissa Standley, et al.. (2020). DHA 12‐LOX‐derived oxylipins regulate platelet activation and thrombus formation through a PKA‐dependent signaling pathway. Journal of Thrombosis and Haemostasis. 19(3). 839–851. 27 indexed citations
4.
Standley, Melissa, Samuel Million‐Weaver, David Alexánder, Shuai Hu, & Manel Camps. (2018). Genetic control of ColE1 plasmid stability that is independent of plasmid copy number regulation. Current Genetics. 65(1). 179–192. 13 indexed citations
5.
Standley, Melissa, et al.. (2017). Fluorescence-Based Reporters for Detection of Mutagenesis in E. coli. Methods in enzymology on CD-ROM/Methods in enzymology. 591. 159–186. 7 indexed citations
6.
Daugherty, Aaron C., et al.. (2011). Mycobacterium smegmatis RoxY Is a Repressor ofoxySand Contributes to Resistance to Oxidative Stress and Bactericidal Ubiquitin-Derived Peptides. Journal of Bacteriology. 193(24). 6824–6833. 10 indexed citations
7.
Räsänen, Juha, Anna Girsén, Xinfang Lu, et al.. (2010). Comprehensive Maternal Serum Proteomic Profiles of Preclinical and Clinical Preeclampsia. Journal of Proteome Research. 9(8). 4274–4281. 52 indexed citations
8.
Standley, Melissa, Akira R. Kinjo, Mark van der Giezen, & Haruki Nakamura. (2008). Structure-based functional annotation of protein sequences guided by comparative models. Nature Cell Biology. 4(5). 337–42. 1 indexed citations
9.
Räsänen, Juha, Anna Girsén, Ashok P. Reddy, et al.. (2008). 11: Maternal serum biomarkers of gestational hypertension distinct from preeclampsia. American Journal of Obstetrics and Gynecology. 199(6). S6–S6. 1 indexed citations
10.
Pereira, Leonardo, et al.. (2008). 174: Proteomic profile of maternal serum in women with recurrent preterm birth. American Journal of Obstetrics and Gynecology. 199(6). S61–S61. 1 indexed citations
11.
Rao, Paturi Vishnupriya, Xinfang Lu, Melissa Standley, et al.. (2007). Proteomic Identification of Urinary Biomarkers of Diabetic Nephropathy. Diabetes Care. 30(3). 629–637. 134 indexed citations
12.
Kisby, Glen E., Antoinette Olivas, Melissa Standley, et al.. (2006). Genotoxicants Target Distinct Molecular Networks in Neonatal Neurons. Environmental Health Perspectives. 114(11). 1703–1712. 10 indexed citations
13.
Standley, Melissa, Antoinette Olivas, Suzanne S. Fei, et al.. (2006). Proteomic Analysis of the Genotoxicant Methylazoxymethanol (MAM)-Induced Changes in the Developing Cerebellum. Journal of Proteome Research. 5(10). 2656–2665. 16 indexed citations
14.
Standley, Melissa, Jean O’Malley, Bin Lin, et al.. (2005). Molecular networks perturbed in a developmental animal model of brain injury. Neurobiology of Disease. 19(1-2). 108–118. 13 indexed citations
15.
Fan, Guang, Rita M. Braziel, Melissa Standley, et al.. (2005). Proteomic Profiling of Mature CD10+ B-Cell Lymphomas. American Journal of Clinical Pathology. 124(6). 920–929. 3 indexed citations
16.
Fan, Guang, Rita M. Braziel, Melissa Standley, et al.. (2005). Proteomic Profiling of Mature CD10+ B-Cell Lymphomas. American Journal of Clinical Pathology. 124(6). 920–929. 11 indexed citations
17.
Standley, Melissa, et al.. (2003). Expression of Pseudomonas stutzeri Zobell cytochrome c-551 and its H47A variant in Escherichia coli. Protein Expression and Purification. 29(2). 244–251. 4 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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