T. S. Pittaway

607 total citations
9 papers, 428 citations indexed

About

T. S. Pittaway is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, T. S. Pittaway has authored 9 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in T. S. Pittaway's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Wheat and Barley Genetics and Pathology (4 papers) and Genetics and Plant Breeding (3 papers). T. S. Pittaway is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), Wheat and Barley Genetics and Pathology (4 papers) and Genetics and Plant Breeding (3 papers). T. S. Pittaway collaborates with scholars based in United Kingdom, India and Australia. T. S. Pittaway's co-authors include M. D. Gale, Katrien M. Devos, J. R. Witcombe, Andy Reynolds, Xiaoquan Qi, C. J. Liu, Carlos S. Busso, C T Hash, M. D. Gale and C. Tom Hash and has published in prestigious journals such as Theoretical and Applied Genetics, Heredity and BioTechniques.

In The Last Decade

T. S. Pittaway

9 papers receiving 395 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
T. S. Pittaway United Kingdom	8	405	233	70	37	27	9	428
P. H. N. Rangel Brazil	9	290 0.7×	161 0.7×	64 0.9×	18 0.5×	39 1.4×	17	343
Chantal Hamelin France	7	430 1.1×	158 0.7×	96 1.4×	18 0.5×	13 0.5×	14	482
X. M. Chen United States	7	511 1.3×	185 0.8×	126 1.8×	51 1.4×	11 0.4×	8	531
David M. Wills United States	8	311 0.8×	195 0.8×	111 1.6×	25 0.7×	43 1.6×	10	388
V. Rajaram India	8	358 0.9×	160 0.7×	59 0.8×	26 0.7×	16 0.6×	14	383
A. K. Fritz United States	8	287 0.7×	84 0.4×	53 0.8×	60 1.6×	22 0.8×	10	316
C. De Pace Italy	13	409 1.0×	85 0.4×	82 1.2×	29 0.8×	75 2.8×	35	454
Delphine Madur France	8	374 0.9×	260 1.1×	56 0.8×	86 2.3×	23 0.9×	8	423
Juan De La Hoz Colombia	7	293 0.7×	103 0.4×	82 1.2×	31 0.8×	32 1.2×	10	341
Erik Legg United States	3	187 0.5×	82 0.4×	65 0.9×	19 0.5×	15 0.6×	4	229

Countries citing papers authored by T. S. Pittaway

Since Specialization

Citations

This map shows the geographic impact of T. S. Pittaway'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 T. S. Pittaway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. S. Pittaway more than expected).

Fields of papers citing papers by T. S. Pittaway

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. S. Pittaway. 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 T. S. Pittaway. The network helps show where T. S. Pittaway may publish in the future.

Co-authorship network of co-authors of T. S. Pittaway

This figure shows the co-authorship network connecting the top 25 collaborators of T. S. Pittaway. A scholar is included among the top collaborators of T. S. Pittaway 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 T. S. Pittaway. T. S. Pittaway is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Qi, Xiaoquan, T. S. Pittaway, Francis Kwame Padi, et al.. (2004). An integrated genetic map and a new set of simple sequence repeat markers for pearl millet, Pennisetum glaucum. Theoretical and Applied Genetics. 109(7). 1485–1493. 95 indexed citations

2.

Qi, Xiaoquan, et al.. (2001). Development of Simple Sequence Repeat Markers from Bacterial Artificial Chromosomes without Subcloning. BioTechniques. 31(2). 355–362. 54 indexed citations

3.

Gale, M. D., Katrien M. Devos, Jiahui Zhu, et al.. (2001). New Molecular Marker Technologies for Pearl Millet Improvement. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 5 indexed citations

4.

Devos, Katrien M., T. S. Pittaway, Andy Reynolds, & M. D. Gale. (2000). Comparative mapping reveals a complex relationship between the pearl millet genome and those of foxtail millet and rice. Theoretical and Applied Genetics. 100(2). 190–198. 80 indexed citations

5.

King, I. P., T. S. Pittaway, Shahal Abbo, et al.. (1997). Physical and genetical mapping of rDNA sites in Pennisetum (pearl millet). Heredity. 78(5). 529–531. 9 indexed citations

6.

Devos, Katrien M., et al.. (1996). The effect of genome and sex on recombination rates in Pennisetum species. Theoretical and Applied Genetics. 93-93(5-6). 902–908. 33 indexed citations

7.

King, I. P., et al.. (1994). Detection of interchromosomal translocations within the Triticeae by RFLP analysis. Genome. 37(5). 882–887. 36 indexed citations

8.

Liu, C. J., J. R. Witcombe, T. S. Pittaway, et al.. (1994). An RFLP-based genetic map of pearl millet (Pennisetum glaucum). Theoretical and Applied Genetics. 89(4). 481–487. 109 indexed citations

9.

Witcombe, J. R., et al.. (1992). Restriction fragment length polymorphism in pearl millet, Pennisetum glaucum. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 7 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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