Philip M. Borden

1.2k total citations
9 papers, 726 citations indexed

About

Philip M. Borden is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Philip M. Borden has authored 9 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Surgery. Recurrent topics in Philip M. Borden's work include Nicotinic Acetylcholine Receptors Study (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cellular transport and secretion (2 papers). Philip M. Borden is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cellular transport and secretion (2 papers). Philip M. Borden collaborates with scholars based in United States, Poland and Austria. Philip M. Borden's co-authors include Rejji Kuruvilla, Loren L. Looger, Maria Ascaño, Jonathan S. Marvin, Steven D. Leach, Baljit S. Khakh, Mira T. Kronschläger, Mark A. Lobas, Jun Nagai and Rongkun Tao and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nano Letters.

In The Last Decade

Philip M. Borden

9 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip M. Borden United States	8	379	269	133	104	104	9	726
Justin M. Kerr United States	8	387 1.0×	282 1.0×	229 1.7×	79 0.8×	58 0.6×	8	702
Juan Ramón Martínez‐François United States	10	519 1.4×	259 1.0×	82 0.6×	54 0.5×	74 0.7×	14	854
Rebecca Mongeon United States	8	548 1.4×	342 1.3×	59 0.4×	91 0.9×	105 1.0×	8	873
Steven N. Ebert United States	18	534 1.4×	233 0.9×	106 0.8×	104 1.0×	21 0.2×	34	917
Francesco Vitiello Italy	14	366 1.0×	288 1.1×	28 0.2×	202 1.9×	84 0.8×	35	778
Didier Hentsch France	10	418 1.1×	239 0.9×	34 0.3×	64 0.6×	52 0.5×	13	786
E. André Germany	7	389 1.0×	198 0.7×	46 0.3×	237 2.3×	68 0.7×	9	921
Anke Müller Germany	12	597 1.6×	401 1.5×	55 0.4×	130 1.3×	26 0.3×	14	952
Mengping Wei China	13	451 1.2×	223 0.8×	36 0.3×	93 0.9×	106 1.0×	27	904
Na Pan China	16	642 1.7×	162 0.6×	36 0.3×	47 0.5×	28 0.3×	35	1.1k

Countries citing papers authored by Philip M. Borden

Since Specialization

Citations

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

Fields of papers citing papers by Philip M. Borden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip M. Borden. 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 Philip M. Borden. The network helps show where Philip M. Borden may publish in the future.

Co-authorship network of co-authors of Philip M. Borden

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

All Works

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9 of 9 papers shown

Zhang, Peng, Miao Jing, Philip M. Borden, et al.. (2020). Nanoscopic Visualization of Restricted Nonvolume Cholinergic and Monoaminergic Transmission with Genetically Encoded Sensors. Nano Letters. 20(6). 4073–4083. 20 indexed citations

Shivange, Amol V., Philip M. Borden, Anand K. Muthusamy, et al.. (2019). Determining the pharmacokinetics of nicotinic drugs in the endoplasmic reticulum using biosensors. The Journal of General Physiology. 151(6). 738–757. 47 indexed citations

Kazemipour, Abbas, Ondřej Novák, Daniel Flickinger, et al.. (2019). Kilohertz frame-rate two-photon tomography. Nature Methods. 16(8). 778–786. 101 indexed citations

Lobas, Mark A., Rongkun Tao, Jun Nagai, et al.. (2019). A genetically encoded single-wavelength sensor for imaging cytosolic and cell surface ATP. Nature Communications. 10(1). 711–711. 206 indexed citations

Bera, Kallol, Amol V. Shivange, Anand K. Muthusamy, et al.. (2019). Biosensors Show the Pharmacokinetics of S-Ketamine in the Endoplasmic Reticulum. Frontiers in Cellular Neuroscience. 13. 499–499. 10 indexed citations

Muthusamy, Anand K., Amol V. Shivange, Philip M. Borden, et al.. (2018). Microscopy Using Fluorescent Drug Biosensors for “Inside-Out Pharmacology”. Biophysical Journal. 114(3). 358a–358a. 1 indexed citations

Borden, Philip M., et al.. (2016). Neurotrophin Signaling Is Required for Glucose-Induced Insulin Secretion. Developmental Cell. 39(3). 329–345. 62 indexed citations

Borden, Philip M., et al.. (2013). Sympathetic Innervation during Development Is Necessary for Pancreatic Islet Architecture and Functional Maturation. Cell Reports. 4(2). 287–301. 133 indexed citations

Ascaño, Maria, et al.. (2009). Axonal Targeting of Trk Receptors via Transcytosis Regulates Sensitivity to Neurotrophin Responses. Journal of Neuroscience. 29(37). 11674–11685. 146 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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