Eric M. Poeschla

8.1k citations
114 papers · 6.3k indexed · 1 hit paper · h-index 42
Topics
HIV Research and Treatment (54 papers)Virus-based gene therapy research (44 papers)HIV/AIDS drug development and treatment (19 papers)

In The Last Decade

Eric M. Poeschla

114 papers receiving 6.2k citations

Hit Papers

A role for LEDGF/p75 in targeting HIV DNA integration20052026201220192005100200300400500

Peers

Eric M. Poeschla
Comparison fields: 5 of 121
  • Molecular Biology 3.6k
  • Virology 3.4k
  • Infectious Diseases 2.3k
  • Genetics 1.7k
  • Epidemiology 1.2k
Replace Narendra Chirmule with:
Narendra Chirmule United States
Masafumi Takiguchi Japan
Celsa A. Spina United States
Keith Peden United States
Deborah H. Spector United States
Amos Panet Israel
Hildegund C.J. Ertl United States
Suresh K. Arya United States
Jonathan P. Stoye United Kingdom
Ronald C. Kennedy United States
Eric M. Poeschla relative to Narendra Chirmule United States Narendra Chirmule's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eric M. Poeschla

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Poeschla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric M. Poeschla. 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 Eric M. Poeschla. The network helps show where Eric M. Poeschla may publish in the future.

Co-authorship network of co-authors of Eric M. Poeschla

This figure shows the co-authorship network connecting the top 25 collaborators of Eric M. Poeschla. A scholar is included among the top collaborators of Eric M. Poeschla 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 Eric M. Poeschla. Eric M. Poeschla 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
#WorkIndexed citations
1 1
2 10
3 159
4 45
5 18
6 16
7 149
8 24
9 8
10 37
11 33
12 27
13 18
14 100
15 42
16 19
17 30
18 25
19 47
20 5

About Eric M. Poeschla

Eric M. Poeschla is a scholar working on Virology, Genetics and Infectious Diseases, having authored 114 papers that have together received 6.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (54 papers), Virus-based gene therapy research (44 papers) and HIV/AIDS drug development and treatment (19 papers). The work is most often cited by research in Virology (3.4k citations), Infectious Diseases (2.3k citations) and Genetics (1.7k citations). Eric M. Poeschla has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Manuel Llano, Dyana T. Saenz, David J. Looney, Mary Peretz, Flossie Wong‐Staal, Wulin Teo, Anne M. Meehan, Hind J. Fadel, Frederic D. Bushman and James H. Morrison. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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