M. W. Nabors

24 total papers · 626 total citations
20 papers, 393 citations indexed

About

M. W. Nabors is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, M. W. Nabors has authored 20 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 14 papers in Molecular Biology and 5 papers in Agronomy and Crop Science. Recurrent topics in M. W. Nabors's work include Plant tissue culture and regeneration (11 papers), Plant Genetic and Mutation Studies (8 papers) and Transgenic Plants and Applications (5 papers). M. W. Nabors is often cited by papers focused on Plant tissue culture and regeneration (11 papers), Plant Genetic and Mutation Studies (8 papers) and Transgenic Plants and Applications (5 papers). M. W. Nabors collaborates with scholars based in United States, India and Pakistan. M. W. Nabors's co-authors include O. L. Gamborg, James W. Heyser, Bruce B. Stowe, Thomas A. Dykes, Reagan Waskom, R. R. Duncan, G. E. Hanning, Daniel R. Miller, Mark A. Brick and D. J. Isenhour and has published in prestigious journals such as Nature, Theoretical and Applied Genetics and Crop Science.

In The Last Decade

M. W. Nabors

19 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
M. W. Nabors	320	313	37	23	15	20	393
Fuminori Komai	229 0.7×	194 0.6×	30 0.8×	27 1.2×	7 0.5×	25	341
S. L. Uratsu	251 0.8×	173 0.6×	39 1.1×	7 0.3×	25 1.7×	22	351
Guangshun Zheng	214 0.7×	250 0.8×	14 0.4×	14 0.6×	12 0.8×	19	373
Tesshu Tamai	241 0.8×	266 0.8×	25 0.7×	14 0.6×	13 0.9×	13	357
Teresa Mozo	306 1.0×	260 0.8×	47 1.3×	5 0.2×	5 0.3×	11	416
Ludmila Ohnoutková	331 1.0×	244 0.8×	36 1.0×	9 0.4×	14 0.9×	29	371
Randolph R. Henke	299 0.9×	314 1.0×	40 1.1×	13 0.6×	5 0.3×	21	390
Mehmet Nuri Nas	294 0.9×	233 0.7×	17 0.5×	20 0.9×	7 0.5×	27	379
Satbir Singh Gosal	298 0.9×	183 0.6×	36 1.0×	11 0.5×	21 1.4×	21	340
Yuhui Dong	339 1.1×	311 1.0×	7 0.2×	19 0.8×	7 0.5×	19	446

Countries citing papers authored by M. W. Nabors

Since Specialization

Citations

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

Fields of papers citing papers by M. W. Nabors

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. W. Nabors. 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 M. W. Nabors. The network helps show where M. W. Nabors may publish in the future.

Co-authorship network of co-authors of M. W. Nabors

This figure shows the co-authorship network connecting the top 25 collaborators of M. W. Nabors. A scholar is included among the top collaborators of M. W. Nabors 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 M. W. Nabors. M. W. Nabors 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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