Veronica Soloveva

3.7k total citations
34 papers, 915 citations indexed

About

Veronica Soloveva is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Veronica Soloveva has authored 34 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 13 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Veronica Soloveva's work include Viral Infections and Outbreaks Research (14 papers), Viral Infections and Vectors (8 papers) and Hepatitis B Virus Studies (6 papers). Veronica Soloveva is often cited by papers focused on Viral Infections and Outbreaks Research (14 papers), Viral Infections and Vectors (8 papers) and Hepatitis B Virus Studies (6 papers). Veronica Soloveva collaborates with scholars based in United States, China and Canada. Veronica Soloveva's co-authors include Sina Bavari, Daniel I. H. Linzer, Susan R. Ross, Mark M. Rasenick, Reed A. Graves, Shiang‐Jong Tzeng, Michael R. Kuehn, T.D.C. Grace, Philip M. Iannaccone and Linda A. Lowe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Veronica Soloveva

33 papers receiving 895 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Veronica Soloveva United States 18 355 319 181 119 90 34 915
Yueh‐Hsin Ping Taiwan 22 820 2.3× 294 0.9× 109 0.6× 99 0.8× 62 0.7× 41 1.4k
Tatiana El‐Bacha Brazil 19 504 1.4× 176 0.6× 116 0.6× 205 1.7× 111 1.2× 35 1.1k
Luiz Carlos Rodrigues Brazil 17 243 0.7× 134 0.4× 103 0.6× 100 0.8× 31 0.3× 37 659
Yi‐Jung Ho Taiwan 19 313 0.9× 182 0.6× 94 0.5× 244 2.1× 63 0.7× 53 950
Sumei Zhang China 19 408 1.1× 111 0.3× 92 0.5× 51 0.4× 105 1.2× 70 1.1k
Jairo R. Temerozo Brazil 17 324 0.9× 380 1.2× 91 0.5× 50 0.4× 22 0.2× 35 875
Ignacio Celestino Italy 16 265 0.7× 105 0.3× 208 1.1× 59 0.5× 145 1.6× 18 872
Soyoung Shin South Korea 14 421 1.2× 117 0.4× 68 0.4× 90 0.8× 128 1.4× 45 859
Margarida Borges Portugal 19 218 0.6× 97 0.3× 223 1.2× 122 1.0× 61 0.7× 37 767
Nabab Khan United States 18 238 0.7× 262 0.8× 200 1.1× 75 0.6× 47 0.5× 35 781

Countries citing papers authored by Veronica Soloveva

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Soloveva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronica Soloveva

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

All Works

20 of 20 papers shown
1.
Veling, Mike T., et al.. (2023). Transcriptomics and cell painting analysis reveals molecular and morphological features associated with fed‐batch production performance in CHO recombinant clones. Biotechnology and Bioengineering. 120(11). 3177–3190. 2 indexed citations
2.
Beitzel, Brett, Sheli R. Radoshitzky, Nicholas Di Paola, et al.. (2021). On-Demand Patient-Specific Phenotype-to-Genotype Ebola Virus Characterization. Viruses. 13(10). 2010–2010.
3.
Watanabe, Susan M., Lorna S. Ehrlich, Madeleine Strickland, et al.. (2020). Selective Targeting of Virus Replication by Proton Pump Inhibitors. Scientific Reports. 10(1). 4003–4003. 29 indexed citations
4.
Bocan, Thomas, Christopher D. Kane, Lisa H. Cazares, et al.. (2018). Countering Zika Virus: The USAMRIID Response. Advances in experimental medicine and biology. 1062. 303–318. 3 indexed citations
5.
Tran, Julie P., Krishna P. Kota, Cary Retterer, et al.. (2018). Second generation of diazachrysenes: Protection of Ebola virus infected mice and mechanism of action. European Journal of Medicinal Chemistry. 162. 32–50. 15 indexed citations
6.
Cheng, Han, Rui Xiong, Veronica Soloveva, et al.. (2018). Repurposing potential of 1st generation H1-specific antihistamines as anti-filovirus therapeutics. Antiviral Research. 157. 47–56. 23 indexed citations
7.
Ma, Julia, Xuexiang Zhang, Veronica Soloveva, et al.. (2017). Enhancing the antiviral potency of ER α-glucosidase inhibitor IHVR-19029 against hemorrhagic fever viruses in vitro and in vivo. Antiviral Research. 150. 112–122. 24 indexed citations
8.
Bixler, Sandra L., Thomas Bocan, Jay Wells, et al.. (2017). Efficacy of favipiravir (T-705) in nonhuman primates infected with Ebola virus or Marburg virus. Antiviral Research. 151. 97–104. 71 indexed citations
9.
Bixler, Sandra L., Thomas Bocan, Jay Wells, et al.. (2017). Intracellular conversion and in vivo dose response of favipiravir (T-705) in rodents infected with Ebola virus. Antiviral Research. 151. 50–54. 33 indexed citations
10.
Cheng, Han, Veronica Soloveva, Dima Gharaibeh, et al.. (2017). Identification of a coumarin-based antihistamine-like small molecule as an anti-filoviral entry inhibitor. Antiviral Research. 145. 24–32. 30 indexed citations
11.
Jeong, Sun‐Young, Megan Sjodt, Cary Retterer, et al.. (2015). Identification of agents effective against multiple toxins and viruses by host-oriented cell targeting. Scientific Reports. 5(1). 13476–13476. 30 indexed citations
12.
Kota, Krishna P., Veronica Soloveva, Erkan Kiris, et al.. (2014). A High Content Imaging Assay for Identification of Botulinum Neurotoxin Inhibitors. Journal of Visualized Experiments. e51915–e51915. 3 indexed citations
13.
Kota, Krishna P., Veronica Soloveva, Erkan Kiris, et al.. (2014). A High Content Imaging Assay for Identification of Botulinum Neurotoxin Inhibitors. Journal of Visualized Experiments. 2 indexed citations
14.
Kim, Tae Hee, Virginie Vauthier, Julie Dam, et al.. (2013). Anti-Obesity Phenotypic Screening Looking to Increase OBR Cell Surface Expression. SLAS DISCOVERY. 19(1). 88–99. 7 indexed citations
15.
Mallon, Robert, Irwin Hollander, Larry Feldberg, et al.. (2010). Antitumor Efficacy Profile of PKI-402, a Dual Phosphatidylinositol 3-Kinase/Mammalian Target of Rapamycin Inhibitor. Molecular Cancer Therapeutics. 9(4). 976–984. 52 indexed citations
16.
Liu, Kun, James K. Hennan, Belew Mekonnen, et al.. (2009). High-Throughput Screening for Kv1.3 Channel Blockers Using an Improved FLIPR-Based Membrane-Potential Assay. SLAS DISCOVERY. 15(2). 185–195. 11 indexed citations
17.
18.
Soloveva, Veronica & Daniel I. H. Linzer. (2003). Differentiation of Placental Trophoblast Giant Cells Requires Downregulation of p53 and Rb. Placenta. 25(1). 29–36. 36 indexed citations
19.
Grace, T.D.C., Veronica Soloveva, Shiang‐Jong Tzeng, et al.. (2001). Nodal Regulates Trophoblast Differentiation and Placental Development. Developmental Biology. 236(1). 124–135. 77 indexed citations
20.
Soloveva, Veronica, et al.. (1997). Transgenic Mice Overexpressing the β1-Adrenergic Receptor in Adipose Tissue Are Resistant to Obesity. Molecular Endocrinology. 11(1). 27–38. 91 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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