Rowland Chirwa

1.1k total citations
40 papers, 772 citations indexed

About

Rowland Chirwa is a scholar working on Plant Science, Agronomy and Crop Science and General Agricultural and Biological Sciences. According to data from OpenAlex, Rowland Chirwa has authored 40 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 9 papers in Agronomy and Crop Science and 7 papers in General Agricultural and Biological Sciences. Recurrent topics in Rowland Chirwa's work include Agricultural pest management studies (24 papers), Plant pathogens and resistance mechanisms (19 papers) and Legume Nitrogen Fixing Symbiosis (11 papers). Rowland Chirwa is often cited by papers focused on Agricultural pest management studies (24 papers), Plant pathogens and resistance mechanisms (19 papers) and Legume Nitrogen Fixing Symbiosis (11 papers). Rowland Chirwa collaborates with scholars based in South Africa, Colombia and Malawi. Rowland Chirwa's co-authors include Jean Claude Rubyogo, E. M. Minja, R. J. Hillocks, Manjit S. Kang, Robin Buruchara, Cosmas Kweyu Lutomia, Eileen Bogweh Nchanji, Hussein Shimelis, Louise Sperling and Newton Z. Lupwayi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Food Science.

In The Last Decade

Rowland Chirwa

39 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rowland Chirwa South Africa 14 581 161 99 68 59 40 772
R. B. Jones United States 14 320 0.6× 114 0.7× 109 1.1× 42 0.6× 84 1.4× 35 574
Bonny R. Ntare Mali 17 744 1.3× 209 1.3× 64 0.6× 32 0.5× 81 1.4× 55 885
Robin Buruchara Uganda 18 733 1.3× 139 0.9× 134 1.4× 27 0.4× 49 0.8× 76 894
Zewdie Bishaw Syria 15 508 0.9× 193 1.2× 281 2.8× 33 0.5× 123 2.1× 52 807
H. D. Cooper United Kingdom 10 530 0.9× 85 0.5× 69 0.7× 34 0.5× 132 2.2× 17 730
H A Ajeigbe Nigeria 12 545 0.9× 223 1.4× 71 0.7× 16 0.2× 76 1.3× 68 713
Chris O. Ojiewo Kenya 17 783 1.3× 158 1.0× 202 2.0× 62 0.9× 72 1.2× 101 1.1k
Fetien Abay Ethiopia 14 400 0.7× 91 0.6× 82 0.8× 12 0.2× 79 1.3× 42 596
Brian P. Baker United States 11 458 0.8× 54 0.3× 105 1.1× 25 0.4× 48 0.8× 35 704
B. Lemaga Netherlands 15 446 0.8× 33 0.2× 113 1.1× 25 0.4× 47 0.8× 49 668

Countries citing papers authored by Rowland Chirwa

Since Specialization
Citations

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

Fields of papers citing papers by Rowland Chirwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rowland Chirwa

This figure shows the co-authorship network connecting the top 25 collaborators of Rowland Chirwa. A scholar is included among the top collaborators of Rowland Chirwa 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 Rowland Chirwa. Rowland Chirwa 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.
Nkhata, Smith G., et al.. (2022). Soaking beans for 12 h reduces split percent and cooking time regardless of type of water used for cooking. Heliyon. 8(9). e10561–e10561. 14 indexed citations
2.
Matumba, Limbikani, et al.. (2022). Acceptability of orange corn‐common bean as an alternative to corn–soybean complementary porridge in Malawi. Journal of Food Science. 87(7). 3163–3172. 1 indexed citations
3.
4.
Chirwa, Rowland, et al.. (2022). Effect of Plant Spacing on Agronomic Performance and Fodder Quality of Four Tepary Bean (Phaseolus acutifolius A. Gray) Cultivars. International Journal of Agronomy. 2022. 1–10. 1 indexed citations
5.
6.
Ndengu, Gift, et al.. (2022). Effect of combining organic manure and inorganic fertilisers on maize–bush bean intercropping. Experimental Agriculture. 58. 6 indexed citations
7.
Sibiya, Julia, et al.. (2021). Canning quality improvement in navy beans: genetic, environmental and compositional factors. Journal of Crop Improvement. 36(5). 717–746. 2 indexed citations
8.
Shimelis, Hussein, et al.. (2021). Genome-wide association analysis of bean fly resistance and agro-morphological traits in common bean. PLoS ONE. 16(4). e0250729–e0250729. 9 indexed citations
9.
Nchanji, Eileen Bogweh, et al.. (2020). Immediate impacts of COVID-19 pandemic on bean value chain in selected countries in sub-Saharan Africa. Agricultural Systems. 188. 103034–103034. 81 indexed citations
10.
11.
Raatz, Bodo, Clare Mukankusi, Juan David Lobaton, et al.. (2019). Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding. Genetic Resources and Crop Evolution. 66(3). 707–722. 42 indexed citations
12.
Brychkova, Galina, Julián Ramírez-Villegas, Peter C. McKeown, et al.. (2018). Reduction in nutritional quality and growing area suitability of common bean under climate change induced drought stress in Africa. Scientific Reports. 8(1). 16187–16187. 76 indexed citations
13.
Katungi, Enid, et al.. (2017). ADOPTION AND IMPACT OF IMPROVED BEAN VARIETIES ON FOOD SECURITY IN MALAWI. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 5 indexed citations
14.
Lupwayi, Newton Z., Ann C. Kennedy, & Rowland Chirwa. (2011). Grain legume impacts on soil biological processes in sub-Saharan Africa. African Journal of Plant Science. 5(1). 1–7. 37 indexed citations
15.
Buruchara, Robin, et al.. (2011). Development and delivery of bean varieties in Africa: The Pan-Africa bean research alliance (PABRA) model. TSpace. 19(4). 227–245. 85 indexed citations
16.
Bokosi, James, et al.. (2010). Performance of parental genotypes and inheritance of Angular Leaf Spot ( Phaeosariopsis griseola ) resistance in the common bean ( Phaseolus vulgaris ). AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(28). 4398–4406. 14 indexed citations
17.
Corrales, Marcial A. Pastor, et al.. (2004). Andean beans with resistance to angular leaf spot and virulence diversity of Phaeoisariopsis griseola in Southern and Eastern Africa. Annual Report of the Bean Improvement Cooperative. Bean Improvement Cooperative. 47. 129–130. 1 indexed citations
18.
Chirwa, Rowland, et al.. (2004). A review of seed security strategies in Malawi. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 5 indexed citations
19.
Buruchara, Robin, et al.. (2001). Breeding beans for smallholder farmers in Eastern, Central, and Southern Africa: Constraints, achievements, and potential. University of Nairobi Research Archive (University of Nairobi). 17 indexed citations
20.
Aggarwal, Vaishali, et al.. (1996). Identification of a multiple disease resistant line from the Andean gene pool.. Annual Report of the Bean Improvement Cooperative. Bean Improvement Cooperative. 39. 282–283. 3 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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