N L Hubbert

5.0k citations
30 papers · 4.2k indexed · 2 hit papers · h-index 25

Impact in

Papers in

N L Hubbert

29 papers receiving 4.1k citations

Hit Papers

HPV16 E6 and E7 proteins cooperate to immortalize human foreskin keratinocytes. 1989 · 772 citations
7721984202619982012250500750

Peers

N L Hubbert
Comparison fields: 5 of 88
  • Epidemiology 2.6k
  • Virology 204
  • Immunology 908
  • Oncology 988
  • Genetics 962
Replace Carole Yee with:
Carole Yee United States
L. Crawford United Kingdom
Carl C. Baker United States
Thomas R. Broker United States
Michelle A. Ozbun United States
Elliot J. Androphy United States
Kei Fujinaga Japan
Lynn R. Budgeon United States
Ann Roman United States
Dina Kremsdorf France
N L Hubbert relative to Carole Yee United States Carole Yee's profile →
Citations per field
00.5×1.5×
Carole Yee · 1×
Citations per year

Countries citing papers authored by N L Hubbert

Since Specialization
Citations

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

Fields of papers citing papers by N L Hubbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N L Hubbert. 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 N L Hubbert. The network helps show where N L Hubbert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199758
2 19969
3 199663
4 199638
5 199659
6 1996137
7 1995120
8 199548
9 199599
10 1995473
11 1994325
12 199269
13 198892
14 1987207
15 198542
16 1984345
17 19830
18 198313
19 19809
20 197832

About N L Hubbert

N L Hubbert is a scholar working on Virology, Epidemiology, Genetics, Animal Science and Zoology and Microbiology, having authored 30 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (18 papers), Virus-based gene therapy research (14 papers), Molecular Biology Techniques and Applications (4 papers), Animal Virus Infections Studies (4 papers), Genital Health and Disease (4 papers), Hepatitis B Virus Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Epidemiology (2.6k citations), Virology (204 citations), Immunology (908 citations), Oncology (988 citations) and Genetics (962 citations). N L Hubbert has collaborated with scholars based in United States, Austria and Denmark. Frequent co-authors include John T. Schiller, Douglas R. Lowy, Reinhard Kirnbauer, Alex G. Papageorge, Berthe M. Willumsen, Karen H. Vousden, Pamela Hawley‐Nelson, D R Lowy, Annette Christensen and Elliot J. Androphy. Their work appears in journals such as Journal of Virology, The Journal of Infectious Diseases, The EMBO Journal, American Journal of Veterinary Research and JNCI Journal of the National Cancer Institute.

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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