Daniel A. Plymire

594 total citations
16 papers, 461 citations indexed

About

Daniel A. Plymire is a scholar working on Molecular Biology, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Daniel A. Plymire has authored 16 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Obstetrics and Gynecology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Daniel A. Plymire's work include Pregnancy and preeclampsia studies (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Reproductive System and Pregnancy (4 papers). Daniel A. Plymire is often cited by papers focused on Pregnancy and preeclampsia studies (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Reproductive System and Pregnancy (4 papers). Daniel A. Plymire collaborates with scholars based in United States, India and United Kingdom. Daniel A. Plymire's co-authors include Carl A. Hubel, Steven M. Patrie, Robert W. Powers, Arun Jeyabalan, Vivek Verma, James M. Ertelt, Bethany A. Weigele, Neal M. Alto, Augustine Rajakumar and Thomas G. Fox and has published in prestigious journals such as Nature, Analytical Chemistry and Hypertension.

In The Last Decade

Daniel A. Plymire

16 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Plymire United States 10 204 172 146 96 88 16 461
Pankaj Suman India 17 255 1.3× 222 1.3× 67 0.5× 320 3.3× 10 0.1× 26 684
Ankita Malik India 12 221 1.1× 213 1.2× 117 0.8× 200 2.1× 4 0.0× 26 549
Taryn Summerfield United States 13 159 0.8× 110 0.6× 71 0.5× 136 1.4× 4 0.0× 38 503
Silvia Miranda Argentina 14 106 0.5× 168 1.0× 27 0.2× 252 2.6× 5 0.1× 37 488
Coşkun Güzel Netherlands 11 42 0.2× 247 1.4× 26 0.2× 25 0.3× 238 2.7× 23 453
Roumen Dimitrov Bulgaria 7 40 0.2× 227 1.3× 12 0.1× 53 0.6× 11 0.1× 12 466
N Kiger France 12 58 0.3× 134 0.8× 18 0.1× 297 3.1× 13 0.1× 37 540
Andrea Balogh Hungary 14 167 0.8× 191 1.1× 98 0.7× 243 2.5× 2 0.0× 38 574
Elizabeth V. Wasmuth United States 12 23 0.1× 522 3.0× 18 0.1× 31 0.3× 8 0.1× 20 664
Richard K. Niles United States 11 23 0.1× 189 1.1× 6 0.0× 34 0.4× 110 1.3× 13 388

Countries citing papers authored by Daniel A. Plymire

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Plymire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Plymire. 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 Daniel A. Plymire. The network helps show where Daniel A. Plymire may publish in the future.

Co-authorship network of co-authors of Daniel A. Plymire

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

All Works

16 of 16 papers shown
1.
Cai, Kai, et al.. (2022). The His-tag as a decoy modulating preferred orientation in cryoEM. Frontiers in Molecular Biosciences. 9. 912072–912072. 5 indexed citations
2.
3.
Zhang, Junmei, J. R. Corbett, Daniel A. Plymire, Benjamin Greenberg, & Steven M. Patrie. (2014). Proteoform analysis of lipocalin‐type prostaglandin D‐synthase from human cerebrospinal fluid by isoelectric focusing and superficially porous liquid chromatography with Fourier transform mass spectrometry. PROTEOMICS. 14(10). 1223–1231. 6 indexed citations
4.
Burnaevskiy, Nikolay, Thomas G. Fox, Daniel A. Plymire, et al.. (2013). Proteolytic elimination of N-myristoyl modifications by the Shigella virulence factor IpaJ. Nature. 496(7443). 106–109. 121 indexed citations
5.
Zhang, Junmei, Michael J. Roth, Audrey N. Chang, et al.. (2013). Top-Down Mass Spectrometry on Tissue Extracts and Biofluids with Isoelectric Focusing and Superficially Porous Silica Liquid Chromatography. Analytical Chemistry. 85(21). 10377–10384. 19 indexed citations
6.
Patrie, Steven M., et al.. (2013). Measurement of Blood Protease Kinetic Parameters with Self-Assembled Monolayer Ligand Binding Assays and Label-Free MALDI-TOF MS. Analytical Chemistry. 85(21). 10597–10604. 9 indexed citations
7.
Powers, Robert W., James M. Roberts, Daniel A. Plymire, et al.. (2012). Low Placental Growth Factor Across Pregnancy Identifies a Subset of Women With Preterm Preeclampsia. Hypertension. 60(1). 239–246. 80 indexed citations
8.
Roth, Michael J., et al.. (2012). Thin-Layer Matrix Sublimation with Vapor-Sorption Induced Co-Crystallization for Sensitive and Reproducible SAMDI-TOF MS Analysis of Protein Biosensors. Journal of the American Society for Mass Spectrometry. 23(10). 1661–1669. 10 indexed citations
9.
Roth, Michael J., et al.. (2012). MS ‐based ligand binding assays with speed, sensitivity, and specificity. PROTEOMICS. 12(21). 3143–3146. 2 indexed citations
10.
11.
Powers, Robert W., Daniel A. Plymire, Dominick Pucci, et al.. (2010). W6.2 High prepregnancy body mass index is associated with low PlGF in preeclampsia and uncomplicated pregnancies. Pregnancy Hypertension. 1. S31–S31. 2 indexed citations
12.
Powers, Robert W., James H. Roberts, Daniel A. Plymire, et al.. (2010). M15.4 Low maternal PlGF across pregnancy identifies a subset of women with preterm preeclampsia; type 1 vs. type 2 preeclampsia?. Pregnancy Hypertension. 1. S14–S14. 1 indexed citations
13.
Luppi, Patrizia, Robert W. Powers, Vivek Verma, et al.. (2010). Maternal Circulating CD34+VEGFR-2+ and CD133+VEGFR-2+ Progenitor Cells Increase During Normal Pregnancy but Are Reduced in Women With Preeclampsia. Reproductive Sciences. 17(7). 643–652. 55 indexed citations
14.
Lin, Chien-Yu, et al.. (2009). Maternal Endothelial Progenitor Colony-Forming Units With Macrophage Characteristics Are Reduced in Preeclampsia. American Journal of Hypertension. 22(9). 1014–1019. 31 indexed citations
15.
Rajakumar, Augustine, Robert W. Powers, Carl A. Hubel, et al.. (2008). Novel Soluble Flt-1 Isoforms in Plasma and Cultured Placental Explants from Normotensive Pregnant and Preeclamptic Women. Placenta. 30(1). 25–34. 56 indexed citations
16.
McCarty, Owen J. T., et al.. (2001). Comparative Antiplatelet Efficacy of a Novel, Nonpeptide GPIIb/IIIa Antagonist (XV454) and Abciximab (c7E3) in Flow Models of Thrombosis. Arteriosclerosis Thrombosis and Vascular Biology. 21(1). 149–156. 21 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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