J. David Gangemi

2.3k citations
56 papers · 1.8k indexed · h-index 23
Topics
Herpesvirus Infections and Treatments (12 papers)Virus-based gene therapy research (8 papers)Immune Cell Function and Interaction (7 papers)

In The Last Decade

J. David Gangemi

54 papers receiving 1.7k citations

Peers

J. David Gangemi
Comparison fields: 5 of 118
  • Epidemiology 528
  • Molecular Biology 414
  • Immunology 393
  • Complementary and alternative medicine 281
  • Oncology 270
Replace Mary J. Kennett with:
Mary J. Kennett United States
Helieh S. Oz United States
Allan S. Y. Lau Hong Kong
Ying‐Ju Lin Taiwan
Dong‐Kwon Rhee South Korea
Andy Wullaert Belgium
Seyed Abdolrahim Rezaee Iran
Jianping Dai China
Makiko Kobayashi United States
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Citations per field
00.5×3.4×
Mary J. Kennett · 1×
Citations per year

Countries citing papers authored by J. David Gangemi

Since Specialization
Citations

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

Fields of papers citing papers by J. David Gangemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. David Gangemi. 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 J. David Gangemi. The network helps show where J. David Gangemi may publish in the future.

Co-authorship network of co-authors of J. David Gangemi

This figure shows the co-authorship network connecting the top 25 collaborators of J. David Gangemi. A scholar is included among the top collaborators of J. David Gangemi 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 J. David Gangemi. J. David Gangemi 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 25
2 31
3
The Potential For Nutrigenomics in Prevention of Metabolic Syndrome
0
4 41
5 162
6 45
7 62
8 0
9 20
10 17
11 16
12 6
13 29
14 7
15 25
16 11
17 32
18 66
19 22
20 21

About J. David Gangemi

J. David Gangemi is a scholar working on Virology, Immunology and Complementary and alternative medicine, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (12 papers), Virus-based gene therapy research (8 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Complementary and alternative medicine (281 citations), Rehabilitation (159 citations) and Biochemistry (122 citations). J. David Gangemi has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Ronald B. Turner, E. Angela Murphy, Martin D. Carmichael, Eugene P. Mayer, John M. Davis, Lien T. Ngo, Stephen J. Ullrich, Hiroyuki Ueda, Gregory D. Jay and Mark A. Feitelson. Their work appears in journals such as New England Journal of Medicine, Nature Genetics and Applied and Environmental Microbiology.

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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