Blanche L. Fields

507 total citations
7 papers, 374 citations indexed

About

Blanche L. Fields is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Blanche L. Fields has authored 7 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Blanche L. Fields's work include Ion channel regulation and function (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Blanche L. Fields is often cited by papers focused on Ion channel regulation and function (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Blanche L. Fields collaborates with scholars based in United States, India and Germany. Blanche L. Fields's co-authors include Lars E. P. Dietrich, Alexa Price‐Whelan, Hassan Sakhtah, Yihan Zhang, Kenneth L. Shepard, Diana K. Morales, Deborah A. Hogan, Tania Wong Fok Lung, David Chen and Sebastián A. Riquelme and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cell Metabolism.

In The Last Decade

Blanche L. Fields

7 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Blanche L. Fields United States	6	274	109	81	57	42	7	374
Christopher L. Pritchett United States	11	194 0.7×	70 0.6×	81 1.0×	50 0.9×	34 0.8×	13	304
Michelle C. Swick United States	9	275 1.0×	191 1.8×	97 1.2×	66 1.2×	66 1.6×	10	529
Liam F. Fitzsimmons United States	12	184 0.7×	70 0.6×	111 1.4×	73 1.3×	46 1.1×	13	343
Jan Zarzycki‐Siek United States	8	207 0.8×	67 0.6×	72 0.9×	41 0.7×	46 1.1×	13	326
Jane A. Colmer United States	11	250 0.9×	142 1.3×	172 2.1×	96 1.7×	67 1.6×	16	412
Yohann Duverger France	9	203 0.7×	90 0.8×	106 1.3×	49 0.9×	40 1.0×	11	354
Sarah Pohl Germany	7	227 0.8×	111 1.0×	73 0.9×	67 1.2×	53 1.3×	8	300
Yi Han Tan Singapore	9	222 0.8×	133 1.2×	39 0.5×	60 1.1×	37 0.9×	12	443
Andrew M. Lippa United States	8	199 0.7×	114 1.0×	168 2.1×	79 1.4×	53 1.3×	12	379
Yonghua Hao United States	10	344 1.3×	128 1.2×	42 0.5×	74 1.3×	31 0.7×	11	558

Countries citing papers authored by Blanche L. Fields

Since Specialization

Citations

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

Fields of papers citing papers by Blanche L. Fields

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Blanche L. Fields. 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 Blanche L. Fields. The network helps show where Blanche L. Fields may publish in the future.

Co-authorship network of co-authors of Blanche L. Fields

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

All Works

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7 of 7 papers shown

Riquelme, Sebastián A., Tania Wong Fok Lung, Blanche L. Fields, et al.. (2020). Pseudomonas aeruginosa Utilizes Host-Derived Itaconate to Redirect Its Metabolism to Promote Biofilm Formation. Cell Metabolism. 31(6). 1091–1106.e6. 132 indexed citations

Fields, Blanche L., Keith Hamilton, Shukun Luo, et al.. (2017). Crystal structure of a Pseudomonas malonate decarboxylase holoenzyme hetero-tetramer. Nature Communications. 8(1). 160–160. 13 indexed citations

Rajagopal, Senthilkumar, et al.. (2017). Stimulatory and inhibitory effects of PKC isozymes are mediated by serine/threonine PKC sites of the Ca v 2.3α 1 subunits. Archives of Biochemistry and Biophysics. 621. 24–30. 8 indexed citations

Okegbe, Chinweike, Blanche L. Fields, Stephanie Cole, et al.. (2017). Electron-shuttling antibiotics structure bacterial communities by modulating cellular levels of c-di-GMP. Proceedings of the National Academy of Sciences. 114(26). E5236–E5245. 74 indexed citations

Sakhtah, Hassan, Yihan Zhang, Diana K. Morales, et al.. (2016). The Pseudomonas aeruginosa efflux pump MexGHI-OpmD transports a natural phenazine that controls gene expression and biofilm development. Proceedings of the National Academy of Sciences. 113(25). E3538–47. 132 indexed citations

Rajagopal, Senthilkumar, Blanche L. Fields, & Ganesan L. Kamatchi. (2014). Contribution of protein kinase Cα in the stimulation of insulin by the down-regulation of Cavβ subunits. Endocrine. 47(2). 463–471. 5 indexed citations

Rajagopal, Senthilkumar, et al.. (2014). Inhibition of protein kinase C (PKC) response of voltage-gated calcium (Cav)2.2 channels expressed in Xenopus oocytes by Cavβ subunits. Neuroscience. 280. 1–9. 10 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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