George Msalya

73 total papers · 613 total citations
46 papers, 405 citations indexed

About

George Msalya is a scholar working on Agronomy and Crop Science, Genetics and Management, Monitoring, Policy and Law. According to data from OpenAlex, George Msalya has authored 46 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Agronomy and Crop Science, 13 papers in Genetics and 11 papers in Management, Monitoring, Policy and Law. Recurrent topics in George Msalya's work include Rangeland Management and Livestock Ecology (11 papers), Genetic and phenotypic traits in livestock (11 papers) and Animal Disease Management and Epidemiology (6 papers). George Msalya is often cited by papers focused on Rangeland Management and Livestock Ecology (11 papers), Genetic and phenotypic traits in livestock (11 papers) and Animal Disease Management and Epidemiology (6 papers). George Msalya collaborates with scholars based in Tanzania, Nigeria and India. George Msalya's co-authors include Kelvin Mtei, Sebastian Wilson Chenyambuga, Maulilio J. Kipanyula, Yoshizane MAEDA, Takeshi Shimogiri, Esron D. Karimuribo, L.J.M. Kusiluka, Mitsuru Minezawa, Delia Grace and A.K. Thiruvenkadan and has published in prestigious journals such as PLoS ONE, Molecular Biology and Evolution and Sustainability.

In The Last Decade

George Msalya

43 papers receiving 392 citations

Author Peers

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

Author						Papers	Cites
George Msalya	98	96	89	69	65	46	405
Huaming Mao	151 1.5×	211 2.2×	129 1.4×	32 0.5×	40 0.6×	41	494
Shuli Yang	137 1.4×	192 2.0×	147 1.7×	36 0.5×	40 0.6×	27	461
G. A. M. Sharman	79 0.8×	29 0.3×	61 0.7×	36 0.5×	39 0.6×	23	377
Sebastian Wilson Chenyambuga	82 0.8×	37 0.4×	160 1.8×	125 1.8×	45 0.7×	43	469
Catherine McKenzie	59 0.6×	121 1.3×	42 0.5×	61 0.9×	44 0.7×	35	367
Toshihiro ICHIJO	265 2.7×	101 1.1×	47 0.5×	51 0.7×	36 0.6×	44	439
Margareta Stéen	42 0.4×	63 0.7×	26 0.3×	44 0.6×	98 1.5×	43	483
A.T. Kanengoni	97 1.0×	33 0.3×	89 1.0×	33 0.5×	59 0.9×	32	382
Xungang Wang	193 2.0×	179 1.9×	64 0.7×	44 0.6×	34 0.5×	33	413
Ke Zhang	168 1.7×	251 2.6×	101 1.1×	29 0.4×	77 1.2×	26	476

Countries citing papers authored by George Msalya

Since Specialization

Citations

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

Fields of papers citing papers by George Msalya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Msalya

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

All Works

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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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