Badrul Islam

56 total papers · 2.3k total citations
32 papers, 463 citations indexed

About

Badrul Islam is a scholar working on Neurology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Badrul Islam has authored 32 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Ecology. Recurrent topics in Badrul Islam's work include Peripheral Neuropathies and Disorders (13 papers), Hereditary Neurological Disorders (9 papers) and Long-Term Effects of COVID-19 (7 papers). Badrul Islam is often cited by papers focused on Peripheral Neuropathies and Disorders (13 papers), Hereditary Neurological Disorders (9 papers) and Long-Term Effects of COVID-19 (7 papers). Badrul Islam collaborates with scholars based in Bangladesh, Netherlands and United States. Badrul Islam's co-authors include Md. Bazlar Rashid, Zhahirul Islam, Sirajur Rahman Khan, Quazi Deen Mohammad, Md. Zeyaullah, H. R. Kudrass, Jörg Linstädter, Till J J Hanebuth, Anja Zander and Israt Jahan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Neurology and Scientific Reports.

In The Last Decade

Badrul Islam

29 papers receiving 419 citations

Author Peers

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

Author						Papers	Cites
Badrul Islam	155	93	89	67	58	32	463
Hilde Thelle Uggerud	41 0.3×	62 0.7×	49 0.6×	2 0.0×	37 0.6×	20	405
Jun Li	12 0.1×	23 0.2×	32 0.4×	2 0.0×	87 1.5×	54	522
Hao Wang	4 0.0×	10 0.1×	35 0.4×	113 1.7×	63 1.1×	16	466
Jingyu Zhang	3 0.0×	14 0.2×	88 1.0×	27 0.4×	100 1.7×	48	414
H. Thöni	30 0.2×	7 0.1×	33 0.4×		42 0.7×	26	453
Joakim Riml	4 0.0×	8 0.1×	89 1.0×	4 0.1×	77 1.3×	27	515
Ying‐Hsin Wu	17 0.1×	6 0.1×	45 0.5×	9 0.1×	119 2.1×	32	439
Funda Üstün	7 0.0×	4 0.0×	63 0.7×	5 0.1×	80 1.4×	52	452
Maria Grazia Badas	14 0.1×	2 0.0×	57 0.6×	20 0.3×	168 2.9×	44	484
Yuan Gao	9 0.1×	6 0.1×	42 0.5×	1 0.0×	38 0.7×	31	419

Countries citing papers authored by Badrul Islam

Since Specialization

Citations

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

Fields of papers citing papers by Badrul Islam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Badrul Islam

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