D Krisky

718 citations
14 papers · 585 indexed · h-index 11
Topics
Virus-based gene therapy research (10 papers)Herpesvirus Infections and Treatments (7 papers)Nerve injury and regeneration (6 papers)
Partner nations
United StatesItalyJapan

In The Last Decade

D Krisky

14 papers receiving 570 citations

Peers

D Krisky
Comparison fields: 5 of 64
  • Genetics 326
  • Molecular Biology 277
  • Epidemiology 201
  • Cellular and Molecular Neuroscience 107
  • Oncology 74
Replace David Krisky with:
David Krisky United States
K Imaizumi Japan
Chantal Missirian France
Katherine Campbell United States
Chuanyin Li China
Wendy L. Kimber United Kingdom
Marie Vincent France
Joseph Vargas United States
Lloyd H. Graf United States
Denny Schanze Germany
D Krisky relative to David Krisky United States David Krisky's profile →
Citations per field
00.5×1.5×
David Krisky · 1×
Citations per year

Countries citing papers authored by D Krisky

Since Specialization
Citations

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

Fields of papers citing papers by D Krisky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Krisky

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 13
2 1
3 2
4 36
5 59
6 10
7 37
8 50
9 87
10 27
11 44
12
Enhanced tumor cell killing in the presence of ganciclovir by herpes simplex virus type 1 vector-directed coexpression of human tumor necrosis factor-alpha and herpes simplex virus thymidine kinase.
62
13
Herpes simplex virus vectors for gene transfer to the nervous system.
18
14 139

About D Krisky

D Krisky is a scholar working on Genetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 14 papers that have together received 585 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Herpesvirus Infections and Treatments (7 papers) and Nerve injury and regeneration (6 papers). The work is most often cited by research in Genetics (326 citations), Cellular and Molecular Neuroscience (107 citations) and Epidemiology (201 citations). D Krisky has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Joseph C. Glorioso, Peggy Marconi, Thomas Oligino, Darren Wolfe, William F. Goins, D J Fink, Ramesh Ramakrishnan, Pietro Luigi Poliani, Shusuke Moriuchi and Justus B. Cohen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Experimental Neurology and Gene Therapy.

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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