Abdul J. Sankoh

66 total papers · 6.1k total citations
41 papers, 2.5k citations indexed

About

Abdul J. Sankoh is a scholar working on Statistics and Probability, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Abdul J. Sankoh has authored 41 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 7 papers in Molecular Biology and 7 papers in Biological Psychiatry. Recurrent topics in Abdul J. Sankoh's work include Statistical Methods in Clinical Trials (13 papers), Tryptophan and brain disorders (7 papers) and Optimal Experimental Design Methods (7 papers). Abdul J. Sankoh is often cited by papers focused on Statistical Methods in Clinical Trials (13 papers), Tryptophan and brain disorders (7 papers) and Optimal Experimental Design Methods (7 papers). Abdul J. Sankoh collaborates with scholars based in United States, Belgium and Netherlands. Abdul J. Sankoh's co-authors include Mohammad F. Huque, Stephen Kanes, Jeffrey M. Jonas, Haihong Li, Ralph B. D’Agostino, Samantha Meltzer‐Brody, Kristina M. Deligiannidis, David R. Rubinow, Robert Riesenberg and Anna Legedza and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Neurology.

In The Last Decade

Abdul J. Sankoh

40 papers receiving 2.4k citations

Hit Papers

Some comments on frequent... 1997 2026 2006 2016 1997 2011 2018 2021 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Abdul J. Sankoh 583 556 383 298 274 41 2.5k
Hyonggin An 848 1.5× 648 1.2× 133 0.3× 72 0.2× 134 0.5× 143 3.8k
Péter Hauser 904 1.6× 936 1.7× 307 0.8× 684 2.3× 313 1.1× 111 5.2k
Warren L. May 223 0.4× 80 0.1× 405 1.1× 187 0.6× 84 0.3× 86 2.6k
Dawn Waterworth 1.2k 2.0× 344 0.6× 909 2.4× 69 0.2× 122 0.4× 82 4.8k
Tamara Arenovich 619 1.1× 549 1.0× 103 0.3× 186 0.6× 267 1.0× 64 3.9k
Jacques Demotes‐Mainard 179 0.3× 98 0.2× 321 0.8× 140 0.5× 55 0.2× 93 2.0k
Catherine Murray 691 1.2× 599 1.1× 215 0.6× 54 0.2× 246 0.9× 62 3.6k
Anselm Mak 317 0.5× 167 0.3× 241 0.6× 718 2.4× 161 0.6× 112 5.0k
Katherine I. Morley 869 1.5× 221 0.4× 656 1.7× 49 0.2× 247 0.9× 84 4.0k
Kevin C. Cain 339 0.6× 71 0.1× 393 1.0× 37 0.1× 142 0.5× 78 4.5k

Countries citing papers authored by Abdul J. Sankoh

Since Specialization
Citations

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

Fields of papers citing papers by Abdul J. Sankoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdul J. Sankoh. 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 Abdul J. Sankoh. The network helps show where Abdul J. Sankoh may publish in the future.

Co-authorship network of co-authors of Abdul J. Sankoh

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

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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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