Seidu Inusah

1.8k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Seidu Inusah is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Seidu Inusah has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Seidu Inusah's work include Cardiac Valve Diseases and Treatments (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Hormonal Regulation and Hypertension (3 papers). Seidu Inusah is often cited by papers focused on Cardiac Valve Diseases and Treatments (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Hormonal Regulation and Hypertension (3 papers). Seidu Inusah collaborates with scholars based in United States, Italy and Ghana. Seidu Inusah's co-authors include Tomasz J. Kozubowski, Thomas S. Denney, Louis J. Dell’Italia, Mustafa I. Ahmed, Steven G. Lloyd, Himanshu Gupta, Michele Melia, Lloyd Paul Aiello, Jennifer K. Sun and Brian B. Berger and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Seidu Inusah

16 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Panretinal Photocoagulation vs Intravitreous Ranibizumab for Proliferative Diabetic Retinopathy

2015 529 citations Jeffrey G. Gross, Adam R. Glassman et al. JAMA profile →

Peers

Seidu Inusah

RNMI

OPHTH

CCM

SURGE

Thomas Schmelter Germany

Yohei Hashimoto Japan

Ekaterina Gibiansky United States

Nicolas Jay France

Larry Goldenberg Canada

Ashish Sharma United States

Vincent K. Lam United States

Lili Shi China

Juan Ding United States

Mingzhe Li China

Thomas Schmelter Germany

Seidu Inusah

374 ×0.7

RNMI

456 ×0.9

OPHTH

16 ×0.1

CCM

175 ×1.4

26 ×0.2

SURGE

Citations per year, relative to Seidu Inusah Seidu Inusah (= 1×) peers Thomas Schmelter

Countries citing papers authored by Seidu Inusah

Since Specialization

Citations

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

Fields of papers citing papers by Seidu Inusah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seidu Inusah

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Town, Machell, et al.. (2023). Analysis of Interview Breakoff in the Behavioral Risk Factor Surveillance System, 2018 and 2019. SHILAP Revista de lepidopterología. 2(2). 100076–100076. 2 indexed citations

Bonacci, Robert A., et al.. (2023). Estimated Uncovered Costs For HIV Preexposure Prophylaxis In The US, 2018. Health Affairs. 42(4). 546–555. 9 indexed citations

Gross, Jeffrey G., Adam R. Glassman, Lee M. Jampol, et al.. (2015). Panretinal Photocoagulation vs Intravitreous Ranibizumab for Proliferative Diabetic Retinopathy. JAMA. 314(20). 2137–2137. 529 indexed citations breakdown →

Jolly, Pauline E., Seidu Inusah, Baogen Lu, et al.. (2013). Association between high aflatoxin B1 levels and high viral load in HIV-positive people. World Mycotoxin Journal. 6(3). 255–261. 31 indexed citations

Ahmed, Mustafa I., Inmaculada Aban, Steven G. Lloyd, et al.. (2012). A Randomized Controlled Phase IIb Trial of Beta1-Receptor Blockade for Chronic Degenerative Mitral Regurgitation. Journal of the American College of Cardiology. 60(9). 833–838. 50 indexed citations

Ahmed, Mustafa I., Ravi V. Desai, Krishna K. Gaddam, et al.. (2012). Relation of Torsion and Myocardial Strains to LV Ejection Fraction in Hypertension. JACC. Cardiovascular imaging. 5(3). 273–281. 55 indexed citations

Ahmed, Mustafa I., James D. Gladden, Silvio Litovsky, et al.. (2010). Increased Oxidative Stress and Cardiomyocyte Myofibrillar Degeneration in Patients With Chronic Isolated Mitral Regurgitation and Ejection Fraction >60%. Journal of the American College of Cardiology. 55(7). 671–679. 116 indexed citations

Inusah, Seidu, Maria Pia Sormani, Stacey S. Cofield, et al.. (2010). Assessing changes in relapse rates in multiple sclerosis. Multiple Sclerosis Journal. 16(12). 1414–1421. 84 indexed citations

Gaddam, Krishna K., Cecília Corros, Eduardo Pimenta, et al.. (2010). Rapid Reversal of Left Ventricular Hypertrophy and Intracardiac Volume Overload in Patients With Resistant Hypertension and Hyperaldosteronism. Hypertension. 55(5). 1137–1142. 114 indexed citations

10.

Ahmed, Mustafa I., et al.. (2009). Mitral Valve Prolapse With a Late-Systolic Regurgitant Murmur May Be Associated With Significant Hemodynamic Consequences. The American Journal of the Medical Sciences. 338(2). 113–115. 3 indexed citations

11.

Gaddam, Krishna K., Eduardo Pimenta, Inmaculada Aban, et al.. (2008). Hyperaldosteronism causes volume overload cardiac hypertrophy in patients with resistant hypertension. Queensland's institutional digital repository (The University of Queensland). 4 indexed citations

12.

Andrades, Patricio, et al.. (2008). Pancreatic islet isolation variables in non-human primates (rhesus macaques). Diabetologia. 51(7). 1236–1244. 14 indexed citations

13.

Gaddam, Krishna K., Seidu Inusah, Himanshu Gupta, et al.. (2007). Spironolactone improves blood pressure and left ventricular hypertrophy in patients with resistant hypertension. Queensland's institutional digital repository (The University of Queensland). 2 indexed citations

14.

Kozubowski, Tomasz J. & Seidu Inusah. (2006). A Skew Laplace Distribution on Integers. Annals of the Institute of Statistical Mathematics. 58(3). 555–571. 61 indexed citations

15.

Modiano, Jaime F., Matthew Breen, Robert C. Burnett, et al.. (2005). Distinct B-Cell and T-Cell Lymphoproliferative Disease Prevalence among Dog Breeds Indicates Heritable Risk. Cancer Research. 65(13). 5654–5661. 133 indexed citations

16.

Inusah, Seidu & Tomasz J. Kozubowski. (2004). A discrete analogue of the Laplace distribution. Journal of Statistical Planning and Inference. 136(3). 1090–1102. 91 indexed citations

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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