Emmanuel Broni

550 total citations
28 papers, 383 citations indexed

About

Emmanuel Broni is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Emmanuel Broni has authored 28 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Epidemiology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Emmanuel Broni's work include Computational Drug Discovery Methods (8 papers), Research on Leishmaniasis Studies (8 papers) and Viral Infections and Outbreaks Research (4 papers). Emmanuel Broni is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Research on Leishmaniasis Studies (8 papers) and Viral Infections and Outbreaks Research (4 papers). Emmanuel Broni collaborates with scholars based in United States, Ghana and South Africa. Emmanuel Broni's co-authors include Samuel K. Kwofie, Michael D. Wilson, Whelton A. Miller, Elvis K. Tiburu, Joseph Humphrey Kofi Bonney, Richard K. Amewu, Dominic S. Y. Amuzu, Lauve Rachel Tchokouaha Yamthé, Dorcas Osei‐Safo and Prakasha Kempaiah and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Frontiers in Pharmacology.

In The Last Decade

Emmanuel Broni

28 papers receiving 376 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emmanuel Broni United States 13 164 93 87 81 78 28 383
Whelton A. Miller United States 12 150 0.9× 73 0.8× 101 1.2× 73 0.9× 59 0.8× 35 346
Ana Carolina Ramos Guimarães Brazil 12 249 1.5× 105 1.1× 93 1.1× 124 1.5× 65 0.8× 39 471
Murali Aarthy India 11 160 1.0× 85 0.9× 171 2.0× 61 0.8× 122 1.6× 23 444
Sitthivut Charoensutthivarakul Thailand 8 171 1.0× 119 1.3× 214 2.5× 61 0.8× 98 1.3× 20 521
Lingaraja Jena India 12 178 1.1× 57 0.6× 44 0.5× 87 1.1× 105 1.3× 38 373
Joyce Villa Verde Bastos Borba Brazil 10 104 0.6× 167 1.8× 92 1.1× 46 0.6× 46 0.6× 25 418
G.M.A. Lima Sweden 10 178 1.1× 70 0.8× 93 1.1× 33 0.4× 88 1.1× 16 334
Rayapadi G. Swetha India 10 219 1.3× 54 0.6× 38 0.4× 51 0.6× 46 0.6× 20 395
Dongrong Yi China 12 210 1.3× 58 0.6× 38 0.4× 91 1.1× 188 2.4× 33 512
Nassira Mahmoudi France 12 198 1.2× 71 0.8× 224 2.6× 52 0.6× 50 0.6× 15 573

Countries citing papers authored by Emmanuel Broni

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Broni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Broni

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

All Works

20 of 20 papers shown
1.
Broni, Emmanuel, et al.. (2024). Identifying potential monkeypox virus inhibitors: an in silico study targeting the A42R protein. Frontiers in Cellular and Infection Microbiology. 14. 1351737–1351737. 17 indexed citations
2.
Broni, Emmanuel, et al.. (2024). Structure-Based Discovery of Potential HPV E6 and EBNA1 Inhibitors: Implications for Cervical Cancer Treatment. Computation. 12(6). 112–112. 1 indexed citations
3.
Hanson, George W., et al.. (2024). Natural Product Identification and Molecular Docking Studies of Leishmania Major Pteridine Reductase Inhibitors. Pharmaceuticals. 18(1). 6–6. 3 indexed citations
4.
Hanson, George W., et al.. (2024). Structure-Based Design of Potential anti-Dengue Compounds against the Envelope Glycoprotein of Dengue 2 Virus. Journal of Computational Biophysics and Chemistry. 24(5). 535–556. 2 indexed citations
5.
Broni, Emmanuel, et al.. (2023). Design of Inhibitors That Target the Menin–Mixed-Lineage Leukemia Interaction. Computation. 12(1). 3–3. 4 indexed citations
6.
Kwofie, Samuel K., et al.. (2023). Inhibiting Leishmania donovani Sterol Methyltransferase to Identify Lead Compounds Using Molecular Modelling. Pharmaceuticals. 16(3). 330–330. 9 indexed citations
7.
Quaye, Osbourne, Edward Wright, Emmanuel Broni, et al.. (2023). Structure-Based Identification of Natural-Product-Derived Compounds with Potential to Inhibit HIV-1 Entry. Molecules. 28(2). 474–474. 3 indexed citations
8.
Broni, Emmanuel, et al.. (2023). Cheminformatics-Based Study Identifies Potential Ebola VP40 Inhibitors. International Journal of Molecular Sciences. 24(7). 6298–6298. 17 indexed citations
9.
Broni, Emmanuel & Whelton A. Miller. (2023). Computational Analysis Predicts Correlations among Amino Acids in SARS-CoV-2 Proteomes. Biomedicines. 11(2). 512–512. 1 indexed citations
10.
Kwofie, Samuel K., et al.. (2023). Artificial Intelligence, Machine Learning, and Big Data for Ebola Virus Drug Discovery. Pharmaceuticals. 16(3). 332–332. 11 indexed citations
11.
Broni, Emmanuel, et al.. (2023). In Silico Discovery of Potential Inhibitors Targeting the RNA Binding Loop of ADAR2 and 5-HT2CR from Traditional Chinese Natural Compounds. International Journal of Molecular Sciences. 24(16). 12612–12612. 3 indexed citations
12.
13.
Broni, Emmanuel, et al.. (2022). Consensus docking and MM-PBSA computations identify putative furin protease inhibitors for developing potential therapeutics against COVID-19. Structural Chemistry. 33(6). 2221–2241. 19 indexed citations
14.
Broni, Emmanuel, et al.. (2022). Homology Modeling, de Novo Design of Ligands, and Molecular Docking Identify Potential Inhibitors of Leishmania donovani 24-Sterol Methyltransferase. Frontiers in Cellular and Infection Microbiology. 12. 859981–859981. 12 indexed citations
15.
Kwofie, Samuel K., et al.. (2021). Prediction of antischistosomal small molecules using machine learning in the era of big data. Molecular Diversity. 26(3). 1597–1607. 4 indexed citations
16.
Broni, Emmanuel, et al.. (2021). Computational Study on Potential Novel Anti-Ebola Virus Protein VP35 Natural Compounds. Biomedicines. 9(12). 1796–1796. 17 indexed citations
17.
Kwofie, Samuel K., et al.. (2020). Review of Atypical Organometallic Compounds as Antimalarial Drugs. Journal of Chemistry. 2020. 1–9. 11 indexed citations
18.
Yamthé, Lauve Rachel Tchokouaha, et al.. (2020). Leishmanicidal Potential of Hardwickiic Acid Isolated From Croton sylvaticus. Frontiers in Pharmacology. 11. 753–753. 20 indexed citations
19.
Kwofie, Samuel K., Emmanuel Broni, Ravi Durvasula, et al.. (2020). Outwitting an Old Neglected Nemesis: A Review on Leveraging Integrated Data-Driven Approaches to Aid in Unraveling of Leishmanicides of Therapeutic Potential. Current Topics in Medicinal Chemistry. 20(5). 349–366. 13 indexed citations
20.
Kwofie, Samuel K., Emmanuel Broni, Michael D. Wilson, et al.. (2019). Pharmacoinformatics-based identification of potential bioactive compounds against Ebola virus protein VP24. Computers in Biology and Medicine. 113. 103414–103414. 40 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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