Sara Kelly

1.0k total citations
10 papers, 357 citations indexed

About

Sara Kelly is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Sara Kelly has authored 10 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Sara Kelly's work include Influenza Virus Research Studies (2 papers), interferon and immune responses (2 papers) and Viral Infections and Vectors (2 papers). Sara Kelly is often cited by papers focused on Influenza Virus Research Studies (2 papers), interferon and immune responses (2 papers) and Viral Infections and Vectors (2 papers). Sara Kelly collaborates with scholars based in United States, Canada and Japan. Sara Kelly's co-authors include Barbara F. Hales, Michael G. Katze, Bernard Robaire, Laurence Josset, Terrence M. Tumpey, Hui Zeng, Xinxia Peng, Jeffrey M. Weiss, Lenore Pipes and Byung Park and has published in prestigious journals such as Nucleic Acids Research, Journal of Virology and Biology of Reproduction.

In The Last Decade

Sara Kelly

10 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Kelly United States 9 150 90 88 84 57 10 357
Maria G. Santagati Finland 8 170 1.1× 64 0.7× 99 1.1× 81 1.0× 115 2.0× 9 377
Benedetta Farina Italy 14 253 1.7× 56 0.6× 58 0.7× 112 1.3× 30 0.5× 36 490
Meng-Ti Hsieh Taiwan 9 116 0.8× 57 0.6× 147 1.7× 42 0.5× 184 3.2× 9 453
Sarah L. Grady United States 5 163 1.1× 179 2.0× 64 0.7× 109 1.3× 36 0.6× 8 410
Shaguna Seth United States 14 288 1.9× 257 2.9× 106 1.2× 82 1.0× 29 0.5× 19 616
Anja Schöbel Germany 9 126 0.8× 101 1.1× 87 1.0× 84 1.0× 23 0.4× 13 388
Xiaoshan Jiang United States 13 227 1.5× 35 0.4× 176 2.0× 33 0.4× 87 1.5× 18 495
Dulce Marı́a Delgadillo Mexico 12 280 1.9× 55 0.6× 89 1.0× 98 1.2× 170 3.0× 20 525
Diego R. Coelho Brazil 11 144 1.0× 64 0.7× 161 1.8× 77 0.9× 208 3.6× 13 470

Countries citing papers authored by Sara Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Sara Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Kelly

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

All Works

10 of 10 papers shown
1.
Peng, Xinxia, Jean Thierry‐Mieg, Danielle Thierry‐Mieg, et al.. (2014). Tissue-specific transcriptome sequencing analysis expands the non-human primate reference transcriptome resource (NHPRTR). Nucleic Acids Research. 43(D1). D737–D742. 48 indexed citations
3.
Selinger, Christian, Jennifer Tisoncik-Go, Vineet D. Menachery, et al.. (2014). Cytokine systems approach demonstrates differences in innate and pro-inflammatory host responses between genetically distinct MERS-CoV isolates. BMC Genomics. 15(1). 1161–1161. 24 indexed citations
4.
Pipes, Lenore, Sheng Li, Robert E. Palermo, et al.. (2012). The non-human primate reference transcriptome resource (NHPRTR) for comparative functional genomics. Nucleic Acids Research. 41(D1). D906–D914. 52 indexed citations
5.
Josset, Laurence, Flora Engelmann, Kristen Haberthur, et al.. (2012). Increased Viral Loads and Exacerbated Innate Host Responses in Aged Macaques Infected with the 2009 Pandemic H1N1 Influenza A Virus. Journal of Virology. 86(20). 11115–11127. 52 indexed citations
6.
Cillóniz, Cristian, Hideki Ebihara, Chester Ni, et al.. (2011). Functional Genomics Reveals the Induction of Inflammatory Response and Metalloproteinase Gene Expression during Lethal Ebola Virus Infection. Journal of Virology. 85(17). 9060–9068. 37 indexed citations
7.
Rowley, David, Sara Kelly, Paul R. Jensen, & William Fenical. (2004). Synthesis and structure–activity relationships of the halovirs, antiviral natural products from a marine-derived fungus. Bioorganic & Medicinal Chemistry. 12(18). 4929–4936. 15 indexed citations
8.
Rowley, David, Sara Kelly, Christopher A. Kauffman, Paul R. Jensen, & William Fenical. (2004). Halovirs A‐E, New Antiviral Agents from a Marine‐Derived Fungus of the Genus Scytalidium.. ChemInform. 35(6). 1 indexed citations
9.
Kelly, Sara, Bernard Robaire, & Barbara F. Hales. (1994). Paternal Cyclophosphamide Exposure Causes Decreased Cell Proliferation in Cleavage-Stage Embryos1. Biology of Reproduction. 50(1). 55–64. 21 indexed citations
10.
Kelly, Sara, Bernard Robaire, & Barbara F. Hales. (1992). Paternal cyclophosphamide treatment causes postimplantation loss via inner cell mass‐specific cell death. Teratology. 45(3). 313–318. 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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