Abdul J. Sankoh
- Epidemiology top 5%
- Hepatology top 1%
- Public Health, Environmental and Occupational Health top 5%
- Biological Psychiatry top 1%
- Pharmacology top 5%
- Co-authors
- Mohammad F. HuqueStephen KanesJeffrey M. JonasHaihong LiRalph B. D’AgostinoSamantha Meltzer‐BrodyKristina M. DeligiannidisRobert Riesenberg
- Topics
- Statistical Methods in Clinical Trials (13 papers)Tryptophan and brain disorders (7 papers)Optimal Experimental Design Methods (7 papers)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Abdul J. Sankoh
40 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Epidemiology 584
- Hepatology 555
- Public Health, Environmental and Occupational Health 394
- Biological Psychiatry 298
- Pharmacology 276
Countries citing papers authored by Abdul J. Sankoh
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
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 50 | |
| 3 | 19 | |
| 4 | Effect of Zuranolone vs Placebo in Postpartum Depressionbreakdown → | 149 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 161 | |
| 9 | 45 | |
| 10 | 1 | |
| 11 | Brexanolone injection in post-partum depression: two multicentre, double-blind, randomised, placebo-controlled, phase 3 trialsbreakdown → | 407 |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | Response-Guided Telaprevir Combination Treatment for Hepatitis C Virus Infectionbreakdown → | 566 |
| 17 | 5 | |
| 18 | 86 | |
| 19 | 2 | |
| 20 | Some comments on frequently used multiple endpoint adjustment methods in clinical trialsbreakdown → | 693 |
About Abdul J. Sankoh
Abdul J. Sankoh is a scholar working on Biological Psychiatry, Statistics and Probability and Behavioral Neuroscience, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (13 papers), Tryptophan and brain disorders (7 papers) and Optimal Experimental Design Methods (7 papers). The work is most often cited by research in Biological Psychiatry (298 citations), Behavioral Neuroscience (253 citations) and Hepatology (555 citations). Abdul J. Sankoh has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Mohammad F. Huque, Stephen Kanes, Jeffrey M. Jonas, Haihong Li, Ralph B. D’Agostino, Samantha Meltzer‐Brody, Kristina M. Deligiannidis, Robert Riesenberg, David R. Rubinow and Anna Legedza. Their work appears in journals such as New England Journal of Medicine, The Lancet and Neurology.
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.