Hugh P. Cam

6.2k citations
31 papers · 3.3k indexed · h-index 19
    • Genomics and Chromatin Dynamics 19
    • Fungal and yeast genetics research 9
    • CRISPR and Genetic Engineering 8
    • RNA modifications and cancer 5
    • RNA Research and Splicing 4
    • Epigenetics and DNA Methylation 3
  • Aging top 5%
    • Chromosomal and Genetic Variations 9
    • Plant Virus Research Studies 4
  • Neurology top 10%

Hugh P. Cam

31 papers receiving 3.3k citations

Peers

Hugh P. Cam
Comparison fields: 5 of 99
  • Molecular Biology 2.9k
  • Aging 54
  • Plant Science 1.1k
  • Neurology 129
  • Cancer Research 227
Replace Tamae Ohye with:
Tamae Ohye Japan
Peter Chi Taiwan
Qi Ma China
Phillip R. Musich United States
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Christian Kukat Germany
Timothy L. Megraw United States
Nerina Gnesutta Italy
Jin Young Kim South Korea
Alexias Safi United States
Hugh P. Cam relative to Tamae Ohye Japan Tamae Ohye's profile →
Citations per field
00.5×3.7×
Tamae Ohye · 1×
Citations per year

Countries citing papers authored by Hugh P. Cam

Since Specialization
Citations

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

Fields of papers citing papers by Hugh P. Cam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugh P. Cam. 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 Hugh P. Cam. The network helps show where Hugh P. Cam may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hugh P. Cam, 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 Hugh P. Cam Line = papers co-authored together Hugh P. Cam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20214
2 2020157
3 2020182
4 20164
5 20162
6 20156
7 201430
8 200955
9 2007156
10 20079
11 2007264
12 2007137
13 200775
14 2006234
15 200599
16 2005405
17 2004264
18 200418
19 2004320
20 2003280

About Hugh P. Cam

Hugh P. Cam is a scholar working on Molecular Biology, Plant Science and Immunology and Allergy, having authored 31 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (19 papers), Chromosomal and Genetic Variations (9 papers), Fungal and yeast genetics research (9 papers), CRISPR and Genetic Engineering (8 papers), RNA modifications and cancer (5 papers), Plant Virus Research Studies (4 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Aging (54 citations) and Plant Science (1.1k citations). Hugh P. Cam has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Shiv I. S. Grewal, Tomoyasu Sugiyama, Brian David Dynlacht, Ken-ichi Noma, Ee Sin Chen, Martin Zofall, Peter Fitzgerald, Danesh Moazed, André Verdel and Estelle Nicolas. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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