Kenneth E. Ugen

8.7k citations
121 papers · 6.8k indexed · 4 hit papers · h-index 38

Kenneth E. Ugen

120 papers receiving 6.5k citations

Hit Papers

Phase I Trial of Interleukin-12 Plasmid Electro...50319932026200420154008001.2k

Peers

Kenneth E. Ugen
Comparison fields: 5 of 132
  • Virology 1.5k
  • Immunology 2.6k
  • Neurology 992
  • Biological Psychiatry 235
  • Biotechnology 662
Replace Michael G. Agadjanyan with:
Michael G. Agadjanyan United States
Kurt Bürki Switzerland
Monique F. Stins United States
Ulrich Kalinke Germany
Michael Bukrinsky United States
Jonathan Karn United States
Paweł Ciborowski United States
Dirk Schlüter Germany
J. Lindsay Whitton United States
Hans S.L.M. Nottet Netherlands
Kenneth E. Ugen relative to Michael G. Agadjanyan United States Michael G. Agadjanyan's profile →
Citations per field
00.5×4.6×
Michael G. Agadjanyan · 1×
Citations per year

Countries citing papers authored by Kenneth E. Ugen

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth E. Ugen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth E. Ugen. 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 Kenneth E. Ugen. The network helps show where Kenneth E. Ugen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kenneth E. Ugen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kenneth E. Ugen Line = papers co-authored together Kenneth E. Ugen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20163
2 201322
3 200913
4
Phase I Trial of Interleukin-12 Plasmid Electroporation in Patients With Metastatic Melanomabreakdown →
2008503
5 200720
6 200535
7 20044
8 200335
9 200210
10 200132
11 20007
12 19985
13 199736
14 199636
15 199421
16 199375
17 199318
18 199270
19 199242
20 199217

About Kenneth E. Ugen

Kenneth E. Ugen is a scholar working on Virology, Immunology, Biotechnology, Neurology and Infectious Diseases, having authored 121 papers that have together received 6.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (54 papers), Immunotherapy and Immune Responses (27 papers), Immune Cell Function and Interaction (19 papers), Alzheimer's disease research and treatments (15 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Microbial Inactivation Methods (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and T-cell and Retrovirus Studies (9 papers). The work is most often cited by research in Virology (1.5k citations), Immunology (2.6k citations), Neurology (992 citations), Biological Psychiatry (235 citations) and Biotechnology (662 citations). Kenneth E. Ugen has collaborated with scholars based in United States, Mexico and India. Frequent co-authors include David B. Weiner, Jean Boyer, Marcia N. Gordon, William V. Williams, Dave Morgan, Donna M. Wilcock, Giovanni DiCarlo, Michael G. Agadjanyan, Kesen Dang and Richard Heller. Their work appears in journals such as DNA and Cell Biology, Vaccine, Human Vaccines & Immunotherapeutics, The Journal of Infectious Diseases and AIDS Research and Human Retroviruses.

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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