Arthur E. Greene

21 papers receiving 966 citations

Hit Papers

Definition of a continuous human cell line derived from neuroblastoma. 1970 · 436 citations
4361970202619882007100200300400

Peers

Arthur E. Greene
Comparison fields: 5 of 118
  • Neurology 212
  • Cancer Research 122
  • Molecular Biology 550
  • Genetics 195
  • Immunology 129
Replace Ignacio González-Gómez with:
Ignacio González-Gómez United States
A. Koestner United States
С. Л. Киселев Russia
R Krämer United States
Tomoo Ohashi United States
Kathy Boon United States
Marianne Martin France
Betty G. Uzman United States
M. Bouteille France
Dieter F. Hülser Germany
Arthur E. Greene relative to Ignacio González-Gómez United States Ignacio González-Gómez's profile →
Citations per field
00.5×1.5×
Ignacio González-Gómez · 1×
Citations per year

Countries citing papers authored by Arthur E. Greene

Since Specialization
Citations

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

Fields of papers citing papers by Arthur E. Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20151
2 198552
3 198310
4 198035
5 197820
6
Experimental infection of a cat kidney cell line with the mouse mammary tumor virus.
197643
7 19733
8 19726
9 19722
10 19712
11 197118
12 1971191
13
Definition of a continuous human cell line derived from neuroblastoma.
Hit paper breakdown →
1970436
14 19707
15 196923
16 19696
17 19699
18 196421
19 196421
20 196421

About Arthur E. Greene

Arthur E. Greene is a scholar working on Instrumentation, Biophysics, Animal Science and Zoology, Geochemistry and Petrology and Rehabilitation, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Insect Resistance and Genetics (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Reproductive Biology and Fertility (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Mosquito-borne diseases and control (2 papers), Stellar, planetary, and galactic studies (2 papers) and Insect Pest Control Strategies (2 papers). The work is most often cited by research in Neurology (212 citations), Cancer Research (122 citations), Molecular Biology (550 citations), Genetics (195 citations) and Immunology (129 citations). Arthur E. Greene has collaborated with scholars based in United States. Frequent co-authors include Warren W. Nichols, Jolanta J. Cholon, Joseph J. Tumilowicz, L.L. Coriell, Jesse Charney, Benjamin H. Landing, Robert M. McAllister, Murray B. Gardner, Michael A. Morrison and Etienne Y. Lasfargues. Their work appears in journals such as Cryobiology, The Astrophysical Journal, Cancer, JNCI Journal of the National Cancer Institute and Journal of Geophysical Research Atmospheres.

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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