Kwame Nti-Addae

18 total papers · 875 total citations
10 papers, 524 citations indexed

About

Kwame Nti-Addae is a scholar working on Molecular Biology, Organic Chemistry and Pharmaceutical Science. According to data from OpenAlex, Kwame Nti-Addae has authored 10 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Organic Chemistry and 3 papers in Pharmaceutical Science. Recurrent topics in Kwame Nti-Addae's work include Drug Transport and Resistance Mechanisms (3 papers), Advanced Drug Delivery Systems (3 papers) and Phenothiazines and Benzothiazines Synthesis and Activities (2 papers). Kwame Nti-Addae is often cited by papers focused on Drug Transport and Resistance Mechanisms (3 papers), Advanced Drug Delivery Systems (3 papers) and Phenothiazines and Benzothiazines Synthesis and Activities (2 papers). Kwame Nti-Addae collaborates with scholars based in United States. Kwame Nti-Addae's co-authors include Valentino J. Stella, Victor R. Guarino, Gautam Dalwadi, Jennifer S. Laurence, Joshua R. Leeman, Ursula A. Germann, Randal A. Byrn, T. Andrew Mobley, Neil C. Tomson and Qi Zheng and has published in prestigious journals such as Advanced Drug Delivery Reviews, Antimicrobial Agents and Chemotherapy and Journal of Pharmaceutical Sciences.

In The Last Decade

Kwame Nti-Addae

9 papers receiving 502 citations

Author Peers

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

Author Last Decade Papers Cites
Kwame Nti-Addae 181 161 130 88 56 10 524
Aleksei Kabedev 231 1.3× 79 0.5× 96 0.7× 94 1.1× 38 0.7× 17 562
Vasanti Suvarna 193 1.1× 135 0.8× 127 1.0× 86 1.0× 24 0.4× 13 482
Karen F. Wilkinson 216 1.2× 111 0.7× 107 0.8× 33 0.4× 117 2.1× 16 584
Shrutidevi Agrawal 88 0.5× 219 1.4× 39 0.3× 118 1.3× 81 1.4× 13 558
Mathew L.S. Leigh 157 0.9× 283 1.8× 49 0.4× 124 1.4× 75 1.3× 11 468
Susan Pugh 206 1.1× 118 0.7× 117 0.9× 48 0.5× 77 1.4× 12 458
Sateesh Khandavilli 77 0.4× 251 1.6× 50 0.4× 29 0.3× 55 1.0× 13 507
Daniel L. Parsons 181 1.0× 274 1.7× 37 0.3× 109 1.2× 33 0.6× 30 548
Prabhakar Kandadi 180 1.0× 400 2.5× 40 0.3× 51 0.6× 48 0.9× 15 608
Hanlu Gao 180 1.0× 95 0.6× 36 0.3× 89 1.0× 28 0.5× 22 503

Countries citing papers authored by Kwame Nti-Addae

Since Specialization
Citations

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

Fields of papers citing papers by Kwame Nti-Addae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwame Nti-Addae. 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 Kwame Nti-Addae. The network helps show where Kwame Nti-Addae may publish in the future.

Co-authorship network of co-authors of Kwame Nti-Addae

This figure shows the co-authorship network connecting the top 25 collaborators of Kwame Nti-Addae. A scholar is included among the top collaborators of Kwame Nti-Addae 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 Kwame Nti-Addae. Kwame Nti-Addae 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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