Denise Gavin

2.2k total citations · 1 hit paper
9 papers, 1.7k citations indexed

About

Denise Gavin is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Denise Gavin has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Denise Gavin's work include Virus-based gene therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Denise Gavin is often cited by papers focused on Virus-based gene therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Denise Gavin collaborates with scholars based in United States, South Korea and Singapore. Denise Gavin's co-authors include Iván Velasco, John Nguyen, Ron McKay, Nadya Lumelsky, José A. Rodríguez‐Gómez, Sang‐Hun Lee, Krys S. Bankiewicz, Jong‐Hoon Kim, Rosario Sánchez‐Pernaute and Jonathan M. Auerbach and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Stroke.

In The Last Decade

Denise Gavin

9 papers receiving 1.7k citations

Hit Papers

Dopamine neurons derived from embryonic stem cells functi... 2002 2026 2010 2018 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denise Gavin United States 6 1.1k 641 473 217 202 9 1.7k
John Nguyen United States 9 1.1k 1.0× 621 1.0× 390 0.8× 109 0.5× 221 1.1× 11 1.6k
Ben A. Murray United States 20 1.5k 1.4× 520 0.8× 268 0.6× 145 0.7× 71 0.4× 31 2.6k
Elaine M. Elder United States 24 1.0k 0.9× 434 0.7× 530 1.1× 611 2.8× 581 2.9× 41 2.5k
Abed AlFatah Mansour United States 10 1.1k 1.0× 312 0.5× 307 0.6× 129 0.6× 71 0.4× 12 1.6k
Rick I. Cohen United States 19 993 0.9× 407 0.6× 329 0.7× 62 0.3× 126 0.6× 32 1.6k
Blake Pepinsky United States 21 1.6k 1.5× 643 1.0× 487 1.0× 185 0.9× 81 0.4× 35 3.1k
H. Christina Fan United States 9 1.7k 1.6× 411 0.6× 348 0.7× 170 0.8× 82 0.4× 16 2.3k
Václav Ourednik United States 16 1.5k 1.4× 829 1.3× 1.3k 2.7× 251 1.2× 822 4.1× 24 2.8k
Daniele Bottai Italy 18 714 0.7× 403 0.6× 177 0.4× 54 0.2× 204 1.0× 41 1.4k
B. Matthew Fagan United States 9 1.1k 1.0× 238 0.4× 333 0.7× 129 0.6× 160 0.8× 13 1.6k

Countries citing papers authored by Denise Gavin

Since Specialization
Citations

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

Fields of papers citing papers by Denise Gavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Gavin

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

All Works

9 of 9 papers shown
1.
O’Leary, Maura, Xiaobin Lü, Ying Huang, et al.. (2018). FDA Approval Summary: Tisagenlecleucel for Treatment of Patients with Relapsed or Refractory B-cell Precursor Acute Lymphoblastic Leukemia. Clinical Cancer Research. 25(4). 1142–1146. 221 indexed citations
2.
Huang, Ying, et al.. (2016). Biodistribution studies: understanding international expectations. Molecular Therapy — Methods & Clinical Development. 3. 16022–16022. 3 indexed citations
3.
Peden, Keith, et al.. (2006). Lot Release and Characterization Testing of Live-Virus-Based Vaccines and Gene Therapy Products, Part 2 Case Studies and Discussion. 4 indexed citations
4.
Peden, Keith, et al.. (2006). Lot Release and Characterization Testing of Live-Virus-Based Vaccines and Gene Therapy Products, Part 1 Factors Influencing Assay Choices. 5 indexed citations
5.
Leker, Ronen R., Frank Soldner, Iván Velasco, et al.. (2006). Long-Lasting Regeneration After Ischemia in the Cerebral Cortex. Stroke. 38(1). 153–161. 133 indexed citations
6.
Kim, Jong‐Hoon, Jonathan M. Auerbach, José A. Rodríguez‐Gómez, et al.. (2002). Dopamine neurons derived from embryonic stem cells function in an animal model of Parkinson's disease. Nature. 418(6893). 50–56. 1246 indexed citations breakdown →
7.
Gavin, Denise, Samuel Young, Weidong Xiao, et al.. (1999). Charge-to-Alanine Mutagenesis of the Adeno-Associated Virus Type 2 Rep78/68 Proteins Yields Temperature-Sensitive and Magnesium-Dependent Variants. Journal of Virology. 73(11). 9433–9445. 11 indexed citations
8.
Gavin, Denise & Kailash C. Gupta. (1997). Efficient Hammerhead Ribozymes Targeted to the Polycistronic Sendai Virus P/C mRNA. Journal of Biological Chemistry. 272(3). 1461–1472. 6 indexed citations
9.
Byrappa, K., Denise Gavin, & K.C. Gupta. (1995). A highly efficient procedure for site-specific mutagenesis of full-length plasmids using Vent DNA polymerase.. Genome Research. 5(4). 404–407. 82 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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