D. C. Abbott

5.3k total citations · 1 hit paper
50 papers, 3.1k citations indexed

About

D. C. Abbott is a scholar working on Astronomy and Astrophysics, Plant Science and Instrumentation. According to data from OpenAlex, D. C. Abbott has authored 50 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Astronomy and Astrophysics, 15 papers in Plant Science and 14 papers in Instrumentation. Recurrent topics in D. C. Abbott's work include Stellar, planetary, and galactic studies (29 papers), Astrophysics and Star Formation Studies (15 papers) and Astronomy and Astrophysical Research (14 papers). D. C. Abbott is often cited by papers focused on Stellar, planetary, and galactic studies (29 papers), Astrophysics and Star Formation Studies (15 papers) and Astronomy and Astrophysical Research (14 papers). D. C. Abbott collaborates with scholars based in United States, Australia and Russia. D. C. Abbott's co-authors include R. Klein, J. Castor, J. H. Bieging, David Friend, Peter M. Waterhouse, Ming‐Bo Wang, E. Churchwell, Peter S. Conti, L. B. Lucy and A. H. D. Brown and has published in prestigious journals such as The Astrophysical Journal, The Plant Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

D. C. Abbott

49 papers receiving 2.9k citations

Hit Papers

Radiation-driven winds in... 1975 2026 1992 2009 1975 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
D. C. Abbott 2.5k 482 399 254 192 50 3.1k
G. Kovács 2.1k 0.8× 1.0k 2.1× 1.0k 2.5× 42 0.2× 332 1.7× 135 3.3k
D. Montes 2.2k 0.9× 896 1.9× 77 0.2× 67 0.3× 145 0.8× 118 2.5k
H. J. Lehto 1.6k 0.6× 161 0.3× 76 0.2× 697 2.7× 67 0.3× 83 1.8k
H. Flores 3.0k 1.2× 1.7k 3.4× 154 0.4× 326 1.3× 151 0.8× 150 3.4k
G. Gavazzi 4.1k 1.6× 2.0k 4.1× 340 0.9× 315 1.2× 174 0.9× 155 4.5k
E. L. Robinson 1.9k 0.7× 248 0.5× 119 0.3× 509 2.0× 42 0.2× 132 2.4k
A. Moretti 3.1k 1.2× 1.7k 3.5× 117 0.3× 268 1.1× 43 0.2× 128 3.5k
James C. Green 828 0.3× 167 0.3× 109 0.3× 161 0.6× 50 0.3× 70 1.1k
P. Eggenberger 6.1k 2.4× 2.4k 5.0× 87 0.2× 368 1.4× 83 0.4× 149 6.3k
J. Dupuis 951 0.4× 245 0.5× 144 0.4× 41 0.2× 108 0.6× 70 1.4k

Countries citing papers authored by D. C. Abbott

Since Specialization
Citations

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

Fields of papers citing papers by D. C. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. C. Abbott. 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 D. C. Abbott. The network helps show where D. C. Abbott may publish in the future.

Co-authorship network of co-authors of D. C. Abbott

This figure shows the co-authorship network connecting the top 25 collaborators of D. C. Abbott. A scholar is included among the top collaborators of D. C. Abbott 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 D. C. Abbott. D. C. Abbott 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
1.
Abbott, D. C., Jon E. Levine, & Daniel A. Dumesic. (2016). Translational Insight Into Polycystic Ovary Syndrome (PCOS) From Female Monkeys with PCOS-like Traits. Current Pharmaceutical Design. 22(36). 5625–5633. 34 indexed citations
3.
Abbott, D. C., et al.. (2002). Gene Silencing - Principles And Application. PubMed. 24. 239–256. 4 indexed citations
4.
Wang, Ming‐Bo, D. C. Abbott, Narayana M. Upadhyaya, John V. Jacobsen, & Peter M. Waterhouse. (2001). Agrobacterium tumefaciens -mediated transformation of an elite Australian barley cultivar with virus resistance and reporter genes. Australian Journal of Plant Physiology. 28(2). 149–156. 38 indexed citations
5.
Wesley, S. V., Chris A. Helliwell, Neil A. Smith, et al.. (2001). Construct design for efficient, effective and high‐throughput gene silencing in plants. The Plant Journal. 27(6). 581–590. 13 indexed citations
6.
Wang, Ming‐Bo, D. C. Abbott, & Peter M. Waterhouse. (2000). A single copy of a virus‐derived transgene encoding hairpin RNA gives immunity to barley yellow dwarf virus. Molecular Plant Pathology. 1(6). 347–356. 163 indexed citations
7.
Rahman, Sadequr, Zhongyi Li, Sharon Abrahams, et al.. (1999). Characterisation of a gene encoding wheat endosperm starch branching enzyme-I. Theoretical and Applied Genetics. 98(1). 156–163. 29 indexed citations
8.
Brown, A. H. D., J. J. Burdon, David F. Garvin, D. C. Abbott, & B. J. Read. (1996). The effect of combining scald resistance genes on disease levels, yield and quality traits in barley. Theoretical and Applied Genetics. 93(3). 361–366. 22 indexed citations
9.
Abbott, D. C., Evans Lagudah, & A. H. D. Brown. (1995). Identification of RFLPs Flanking a Scald Resistance Gene on Barley Chromosome 6. Journal of Heredity. 86(2). 152–154. 36 indexed citations
10.
Churchwell, E., J. H. Bieging, K. A. van der Hucht, et al.. (1992). The Wolf-Rayet system WR 147 - A binary radio source with thermal and nonthermal components. The Astrophysical Journal. 393. 329–329. 40 indexed citations
11.
Abbott, D. C., A. H. D. Brown, & Jeremy J. Burdon. (1991). Genes for scald resistance from wild barley (Hordeum vulgare ssp spontaneum) and their linkage to isozyme markers. Euphytica. 61(3). 225–231. 59 indexed citations
12.
Schmütz, W., et al.. (1990). Non-LTE model calculations for SN 1987A and the extragalactic distance scale. The Astrophysical Journal. 355. 255–255. 30 indexed citations
13.
Bohannan, B., et al.. (1989). Photospheres of hot stars. III - Luminosity effects at spectral type 09.5. The Astrophysical Journal. 340. 1073–1073. 43 indexed citations
14.
Hummer, D. G., et al.. (1988). Failure of continuum methods for determining the effective temperature of hot stars. The Astrophysical Journal. 328. 704–704. 11 indexed citations
15.
Abbott, D. C., et al.. (1986). Radio emission from galactic Wolf-Rayet stars and the structure of Wolf-Rayet winds. The Astrophysical Journal. 303. 239–239. 104 indexed citations
16.
Abbott, D. C., C. M. Telesco, & Sidney C. Wolff. (1984). 2 to 20 micron observations of mass loss from early-type stars. The Astrophysical Journal. 279. 225–225. 15 indexed citations
17.
Bieging, J. H., D. C. Abbott, & E. Churchwell. (1982). Mass loss rates for Wolf-Rayet stars from radio continuum observations. The Astrophysical Journal. 263. 207–207. 19 indexed citations
18.
Abbott, D. C., J. H. Bieging, E. Churchwell, & J. P. Cassinelli. (1980). VLA radio continuum measurements of mass loss from early-type stars. The Astrophysical Journal. 238. 196–196. 30 indexed citations
19.
Abbott, D. C.. (1978). The structure and transition probabilities of ionised Cr, Mn, Fe and Ni. Journal of Physics B Atomic and Molecular Physics. 11(20). 3479–3497. 4 indexed citations
20.
Abbott, D. C., et al.. (1967). Correlated Inheritance of Maturity and Quality Factors in a Hard Red Winter Wheat Cross1. Crop Science. 7(1). 13–16. 4 indexed citations

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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