Ramanda Upshaw

438 total citations
12 papers, 345 citations indexed

About

Ramanda Upshaw is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Ramanda Upshaw has authored 12 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in Ramanda Upshaw's work include Influenza Virus Research Studies (4 papers), Biochemical and Molecular Research (4 papers) and Respiratory viral infections research (3 papers). Ramanda Upshaw is often cited by papers focused on Influenza Virus Research Studies (4 papers), Biochemical and Molecular Research (4 papers) and Respiratory viral infections research (3 papers). Ramanda Upshaw collaborates with scholars based in United States, United Kingdom and Spain. Ramanda Upshaw's co-authors include Shanta Bantia, Cynthia Parker, Pooran Chand, Y.S. Babu, Sandya L. Ananth, Pravin L. Kotian, Dolors Colomer, Thomas Mehrling, Elı́as Campo and Neus Villamor and has published in prestigious journals such as Blood, Cancer Research and Molecular Cancer Therapeutics.

In The Last Decade

Ramanda Upshaw

12 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramanda Upshaw United States 9 174 154 52 50 40 12 345
Matt Nodwell Canada 8 101 0.6× 266 1.7× 69 1.3× 68 1.4× 81 2.0× 8 501
Arunima Mukhopadhyay India 7 151 0.9× 190 1.2× 26 0.5× 45 0.9× 70 1.8× 18 451
Steven S. Matsumoto United States 11 135 0.8× 272 1.8× 57 1.1× 42 0.8× 50 1.3× 22 494
Karen Prus United States 9 112 0.6× 146 0.9× 202 3.9× 52 1.0× 24 0.6× 17 398
H. N. Jayaram United States 13 103 0.6× 363 2.4× 103 2.0× 49 1.0× 30 0.8× 25 472
Anna Pagotto Italy 9 138 0.8× 204 1.3× 71 1.4× 108 2.2× 51 1.3× 15 392
Hua Cao China 12 60 0.3× 233 1.5× 81 1.6× 53 1.1× 34 0.8× 20 392
Judith John United States 12 44 0.3× 192 1.2× 52 1.0× 46 0.9× 102 2.5× 15 403
Emeline Cros‐Perrial France 13 44 0.3× 211 1.4× 27 0.5× 75 1.5× 27 0.7× 33 371
Ravikiran S. Yedidi United States 13 66 0.4× 216 1.4× 164 3.2× 39 0.8× 16 0.4× 25 415

Countries citing papers authored by Ramanda Upshaw

Since Specialization
Citations

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

Fields of papers citing papers by Ramanda Upshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramanda Upshaw

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

All Works

12 of 12 papers shown
1.
Bantia, Shanta, Ramanda Upshaw, & Y.S. Babu. (2011). Characterization of the binding affinities of peramivir and oseltamivir carboxylate to the neuraminidase enzyme. Antiviral Research. 91(3). 288–291. 14 indexed citations
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Bantia, Shanta, Cynthia Parker, Ramanda Upshaw, et al.. (2010). A Single Intramuscular Injection of Peramivir Demonstrates Anti-influenza Activity Against Recently Isolated Pandemic Flu Virus H1N1 (A/CA/04/2009). Antiviral Research. 86(1). A29–A30. 2 indexed citations
5.
Kotian, Pravin L., Yahya El-Kattan, Surendra Kumar Saini, et al.. (2009). Design, parallel synthesis, and crystal structures of biphenyl antithrombotics as selective inhibitors of tissue factor FVIIa complex. Part 1: Exploration of S2 pocket pharmacophores. Bioorganic & Medicinal Chemistry. 17(11). 3934–3958. 10 indexed citations
6.
López‐Guerra, Mònica, Ramanda Upshaw, Shanta Bantia, et al.. (2009). Forodesine has high antitumor activity in chronic lymphocytic leukemia and activates p53-independent mitochondrial apoptosis by induction of p73 and BIM. Blood. 114(8). 1563–1575. 41 indexed citations
7.
Alonso, Roberto, Neus Villamor, Ramanda Upshaw, et al.. (2007). The purine nucleoside phosphorylase inhibitor forodesine induces p53-independent apoptosis in chronic lymphocytic leukemia through caspase-8 activation, Mcl-1 downregulation, conformational changes of Bax and Bak and ROS generation.. Molecular Cancer Therapeutics. 6. 2 indexed citations
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Bantia, Shanta, et al.. (2005). Anti-influenza virus activity of peramivir in mice with single intramuscular injection. Antiviral Research. 69(1). 39–45. 120 indexed citations
10.
Parker, Cynthia, Ramanda Upshaw, Hans Prydz, et al.. (2005). The antithrombotic and anti-inflammatory effects of BCX-3607, a small molecule tissue factor/factor VIIa inhibitor. Thrombosis Research. 117(3). 343–349. 20 indexed citations
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Bantia, Shanta, et al.. (2003). Mechanism of inhibition of T-acute lymphoblastic leukemia cells by PNP inhibitor—BCX-1777. International Immunopharmacology. 3(6). 879–887. 63 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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