MS Rahman

69 total papers · 664 total citations
48 papers, 470 citations indexed

About

MS Rahman is a scholar working on Plant Science, Agronomy and Crop Science and Food Science. According to data from OpenAlex, MS Rahman has authored 48 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 9 papers in Agronomy and Crop Science and 9 papers in Food Science. Recurrent topics in MS Rahman's work include Brucella: diagnosis, epidemiology, treatment (6 papers), Fish Biology and Ecology Studies (5 papers) and Plant Virus Research Studies (4 papers). MS Rahman is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (6 papers), Fish Biology and Ecology Studies (5 papers) and Plant Virus Research Studies (4 papers). MS Rahman collaborates with scholars based in Bangladesh, Australia and South Korea. MS Rahman's co-authors include Malcolm W. Clark, Lachlan H. Yee, Edward D. Burton, JS Gladstones, Timothy E. Payne, M. Josick Comarmond, MM Rahman, Md Shahjahan, Zahida Muyen and Md Rezaul Karim and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Chemosphere.

In The Last Decade

MS Rahman

46 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
MS Rahman	171	83	82	80	73	48	470
K.S. Chukwuka	188 1.1×	99 1.2×	93 1.1×	39 0.5×	45 0.6×	36	503
Enrica Allevato	150 0.9×	94 1.1×	64 0.8×	114 1.4×	30 0.4×	26	506
S. Sivakumaran	191 1.1×	93 1.1×	50 0.6×	56 0.7×	32 0.4×	23	531
Y. Abd‐el‐Malek	143 0.8×	66 0.8×	74 0.9×	61 0.8×	48 0.7×	38	454
Muhammad Naeem Khan	151 0.9×	51 0.6×	155 1.9×	24 0.3×	29 0.4×	39	530
A. V. Bogdan	147 0.9×	61 0.7×	49 0.6×	56 0.7×	29 0.4×	34	452
Neil C. Hansen	192 1.1×	44 0.5×	143 1.7×	159 2.0×	24 0.3×	38	500
A. K. Singh	204 1.2×	50 0.6×	163 2.0×	58 0.7×	14 0.2×	48	418
R. W. McNew	213 1.2×	58 0.7×	35 0.4×	126 1.6×	23 0.3×	26	532
David José Miquelluti	259 1.5×	43 0.5×	161 2.0×	43 0.5×	35 0.5×	74	507

Countries citing papers authored by MS Rahman

Since Specialization

Citations

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

Fields of papers citing papers by MS Rahman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MS Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of MS Rahman. A scholar is included among the top collaborators of MS Rahman 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 MS Rahman. MS Rahman 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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