Nancy Quintrell

2.6k citations
28 papers · 2.3k indexed · 3 hit papers · h-index 19

Impact in

Papers in

Nancy Quintrell

28 papers receiving 2.0k citations

Hit Papers

Identification of a human gene (HCK) that encodes a protein-tyrosine kinase and is expressed in hemopoietic cells. 1987 · 253 citations
2531970202619882007100200300

Peers

Nancy Quintrell
Comparison fields: 5 of 79
  • Animal Science and Zoology 457
  • Virology 183
  • Genetics 766
  • Molecular Biology 1.4k
  • Immunology 349
Replace C. Moscovici with:
C. Moscovici United States
Robert M. McAllister United States
M A Baluda United States
Robert H. Bassin United States
Heidi Diggelmann Switzerland
D. R. Dubbs United States
H J Kung United States
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S K Ruscetti United States
John A. Wyke United Kingdom
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Citations per field
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C. Moscovici · 1×
Citations per year

Countries citing papers authored by Nancy Quintrell

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Quintrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy Quintrell. 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 Nancy Quintrell. The network helps show where Nancy Quintrell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20009
2 1995215
3
Human protein-tyrosine kinase gene HCK: expression and structural analysis of the promoter region.
199227
4 19865
5 198171
6 198116
7 198088
8 198063
9 197925
10 197461
11 197413
12 1973142
13 197310
14 197076
15 197016
16 197046
17 1970105
18 19704
19
The low molecular weight RNAs of Rous sarcoma virus
Hit paper breakdown →
1970200
20 197088

About Nancy Quintrell

Nancy Quintrell is a scholar working on Animal Science and Zoology, Genetics, Plant Science, Endocrinology and Immunology, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Animal Virus Infections Studies (10 papers), Plant Virus Research Studies (8 papers), RNA Interference and Gene Delivery (4 papers), Biochemical and Molecular Research (3 papers), Herpesvirus Infections and Treatments (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Animal Science and Zoology (457 citations), Virology (183 citations), Genetics (766 citations), Molecular Biology (1.4k citations) and Immunology (349 citations). Nancy Quintrell has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include J. Michael Bishop, Harold Varmus, Warren Levinson, Lois Fanshier, Stephen M. Robbins, Stephen H. Hughes, Jean Jackson, John Majors, Hsing-Jien Kung and Peter R. Shank. Their work appears in journals such as Virology, Journal of Virology, Journal of Molecular Biology, Molecular and Cellular Biology and Nature.

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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