Snider Desir

546 total citations
9 papers, 416 citations indexed

About

Snider Desir is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Snider Desir has authored 9 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Cell Biology. Recurrent topics in Snider Desir's work include Molecular Communication and Nanonetworks (2 papers), Microtubule and mitosis dynamics (2 papers) and Cancer Cells and Metastasis (1 paper). Snider Desir is often cited by papers focused on Molecular Communication and Nanonetworks (2 papers), Microtubule and mitosis dynamics (2 papers) and Cancer Cells and Metastasis (1 paper). Snider Desir collaborates with scholars based in United States. Snider Desir's co-authors include Emil Lou, Clifford J. Steer, Subbaya Subramanian, Phillip Wong, Rachel I. Vogel, Venugopal Thayanithy, Yuman Fong, Elizabeth L. Dickson, Katia Manova‐Todorova and Malcolm A.S. Moore and has published in prestigious journals such as PLoS ONE, Scientific Reports and Oncotarget.

In The Last Decade

Snider Desir

9 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Snider Desir United States	8	259	127	83	60	53	9	416
Alexei Morozov United States	6	241 0.9×	55 0.4×	58 0.7×	60 1.0×	123 2.3×	17	429
Virginia J. Yao United States	8	275 1.1×	74 0.6×	74 0.9×	51 0.8×	68 1.3×	8	431
Charles Yoon Canada	5	322 1.2×	54 0.4×	49 0.6×	31 0.5×	74 1.4×	7	461
Jason C. Tung United States	6	170 0.7×	111 0.9×	142 1.7×	66 1.1×	94 1.8×	6	428
Arthur Jacob Qatar	4	241 0.9×	58 0.5×	51 0.6×	105 1.8×	53 1.0×	5	388
Dominik Krilleke United Kingdom	5	330 1.3×	45 0.4×	70 0.8×	55 0.9×	48 0.9×	5	480
Emily J. Girard United States	11	249 1.0×	39 0.3×	58 0.7×	66 1.1×	64 1.2×	24	406
Paulina Moreno‐Layseca United Kingdom	5	280 1.1×	48 0.4×	192 2.3×	65 1.1×	108 2.0×	7	571
Samantha C. Schwager United States	13	227 0.9×	109 0.9×	144 1.7×	130 2.2×	131 2.5×	19	489

Countries citing papers authored by Snider Desir

Since Specialization

Citations

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

Fields of papers citing papers by Snider Desir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Snider Desir

This figure shows the co-authorship network connecting the top 25 collaborators of Snider Desir. A scholar is included among the top collaborators of Snider Desir 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 Snider Desir. Snider Desir 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

Desir, Snider, Phillip Wong, Thomas J. Turbyville, et al.. (2019). Intercellular Transfer of Oncogenic KRAS via Tunneling Nanotubes Introduces Intracellular Mutational Heterogeneity in Colon Cancer Cells. Cancers. 11(7). 892–892. 49 indexed citations

Lou, Emil, Snider Desir, Phillip Wong, et al.. (2018). Cellular and Molecular Networking Within the Ecosystem of Cancer Cell Communication via Tunneling Nanotubes. Frontiers in Cell and Developmental Biology. 6. 95–95. 48 indexed citations

Desir, Snider, Patrick O’Hare, Rachel I. Vogel, et al.. (2018). Chemotherapy-Induced Tunneling Nanotubes Mediate Intercellular Drug Efflux in Pancreatic Cancer. Scientific Reports. 8(1). 9484–9484. 81 indexed citations

Lou, Emil, Sepideh Gholami, Yevgeniy Romin, et al.. (2017). Imaging Tunneling Membrane Tubes Elucidates Cell Communication in Tumors. Trends in cancer. 3(10). 678–685. 37 indexed citations

Desir, Snider, Elizabeth L. Dickson, Rachel I. Vogel, et al.. (2016). Tunneling nanotube formation is stimulated by hypoxia in ovarian cancer cells. Oncotarget. 7(28). 43150–43161. 103 indexed citations

Ady, Justin, Snider Desir, Venugopal Thayanithy, et al.. (2014). Intercellular communication in malignant pleural mesothelioma: properties of tunneling nanotubes. Frontiers in Physiology. 5. 400–400. 74 indexed citations

Mitchell, Adam, Weihua Guan, Rodney Staggs, et al.. (2013). Identification of Differentially Expressed Transcripts and Pathways in Blood One Week and Six Months Following Implant of Left Ventricular Assist Devices. PLoS ONE. 8(10). e77951–e77951. 9 indexed citations

Adhikari, Neeta, Marie Billaud, Marjorie Carlson, et al.. (2013). Vascular biomechanical properties in mice with smooth muscle specific deletion of Ndst1. Molecular and Cellular Biochemistry. 385(1-2). 225–238. 4 indexed citations

Srivastava, Abhishek, Prasanna Sooriakumaran, Sonal Grover, et al.. (2011). Pathological outcomes and strategies to achieve optimal cancer control during robotic radical prostatectomy in Asian-Indian men. Indian Journal of Urology. 27(3). 326–326. 11 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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