Kevin A. Lobb
- Molecular Biology
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 2%
- Pharmacology top 5%
- Oncology
- Co-authors
- Faez Iqbal KhanÖzlem Taştan BishopAsimul IslamFaizan AhmadMd. Imtaiyaz HassanThommas M. MusyokaTaj MohammadPerry T. Kaye
- Topics
- Computational Drug Discovery Methods (14 papers)Synthesis and biological activity (10 papers)Synthesis and Characterization of Heterocyclic Compounds (10 papers)
- Partner nations
- South AfricaIndiaGhana
In The Last Decade
Kevin A. Lobb
73 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 567
- Organic Chemistry 344
- Computational Theory and Mathematics 290
- Pharmacology 181
- Oncology 94
Countries citing papers authored by Kevin A. Lobb
This map shows the geographic impact of Kevin A. Lobb'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 Kevin A. Lobb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin A. Lobb more than expected).
Fields of papers citing papers by Kevin A. Lobb
This network shows the impact of papers produced by Kevin A. Lobb. 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 Kevin A. Lobb. The network helps show where Kevin A. Lobb may publish in the future.
Co-authorship network of co-authors of Kevin A. Lobb
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin A. Lobb. A scholar is included among the top collaborators of Kevin A. Lobb 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 Kevin A. Lobb. Kevin A. Lobb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 34 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 30 | |
| 15 | 50 | |
| 16 | 105 | |
| 17 | 1 | |
| 18 | 1H NMR-based kinetic-mechanistic study of the intramolecular trans-esterification of 2-exo-3-exo-dihydroxybornane monoacrylate esters | 1 |
| 19 | 15 | |
| 20 | 35 |
About Kevin A. Lobb
Kevin A. Lobb is a scholar working on Organic Chemistry, Physical and Theoretical Chemistry and Computational Theory and Mathematics, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Synthesis and biological activity (10 papers) and Synthesis and Characterization of Heterocyclic Compounds (10 papers). The work is most often cited by research in Computational Theory and Mathematics (290 citations), Organic Chemistry (344 citations) and Toxicology (39 citations). Kevin A. Lobb has collaborated with scholars based in South Africa, India and Ghana. Frequent co-authors include Faez Iqbal Khan, Özlem Taştan Bishop, Asimul Islam, Faizan Ahmad, Md. Imtaiyaz Hassan, Thommas M. Musyoka, Taj Mohammad, Perry T. Kaye, Aquillah M. Kanzi and Gulam Mustafa Hasan. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Chemical Physics Letters.
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.