Vinod Kasam

744 total citations
22 papers, 337 citations indexed

About

Vinod Kasam is a scholar working on Molecular Biology, Computational Theory and Mathematics and Information Systems and Management. According to data from OpenAlex, Vinod Kasam has authored 22 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Information Systems and Management. Recurrent topics in Vinod Kasam's work include Computational Drug Discovery Methods (7 papers), Scientific Computing and Data Management (6 papers) and Distributed and Parallel Computing Systems (4 papers). Vinod Kasam is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Scientific Computing and Data Management (6 papers) and Distributed and Parallel Computing Systems (4 papers). Vinod Kasam collaborates with scholars based in Germany, France and United States. Vinod Kasam's co-authors include Vincent Breton, Martin Hofmann‐Apitius, Marc Zimmermann, Antje Wolf, Astrid Maaß, Jean Salzemann, Chang‐Guo Zhan, Peter A. Crooks, Giulio Rastelli and Narsimha Reddy Penthala and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and Journal of Chemical Information and Modeling.

In The Last Decade

Vinod Kasam

22 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinod Kasam Germany 12 185 116 64 58 52 22 337
Samuel Lampa Sweden 10 202 1.1× 164 1.4× 29 0.5× 11 0.2× 50 1.0× 13 420
Sankalp Jain United States 12 161 0.9× 185 1.6× 21 0.3× 25 0.4× 15 0.3× 52 473
Jean Salzemann France 6 60 0.3× 43 0.4× 10 0.2× 19 0.3× 55 1.1× 9 139
Christoph Gorgulla United States 9 481 2.6× 332 2.9× 73 1.1× 15 0.3× 5 0.1× 16 690
Patrick D. Fischer United States 7 385 2.1× 259 2.2× 52 0.8× 9 0.2× 4 0.1× 11 532
Wen Xiao China 10 115 0.6× 124 1.1× 25 0.4× 11 0.2× 14 0.3× 26 378
Carmine Talarico Italy 16 316 1.7× 184 1.6× 72 1.1× 11 0.2× 4 0.1× 37 544
Yehor S. Malets Ukraine 2 281 1.5× 244 2.1× 47 0.7× 6 0.1× 4 0.1× 4 403
David L. Penkler South Africa 7 321 1.7× 159 1.4× 14 0.2× 21 0.4× 5 0.1× 10 408
S. S. Sheik India 7 205 1.1× 56 0.5× 37 0.6× 12 0.2× 3 0.1× 10 307

Countries citing papers authored by Vinod Kasam

Since Specialization
Citations

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

Fields of papers citing papers by Vinod Kasam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinod Kasam

This figure shows the co-authorship network connecting the top 25 collaborators of Vinod Kasam. A scholar is included among the top collaborators of Vinod Kasam 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 Vinod Kasam. Vinod Kasam 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.
Soleilhac, Emmanuelle, Loraine Brillet-Guéguen, Véronique Roussel, et al.. (2018). Specific Targeting of Plant and Apicomplexa Parasite Tubulin through Differential Screening Using In Silico and Assay-Based Approaches. International Journal of Molecular Sciences. 19(10). 3085–3085. 13 indexed citations
2.
Miller, Zachary, Vinod Kasam, Kwang Hyun Lee, et al.. (2015). Proteasome Inhibitors with Pyrazole Scaffolds from Structure-Based Virtual Screening. Journal of Medicinal Chemistry. 58(4). 2036–2041. 41 indexed citations
3.
Kasam, Vinod, Nara Lee, Kyungbo Kim, & Chang‐Guo Zhan. (2014). Selective immunoproteasome inhibitors with non-peptide scaffolds identified from structure-based virtual screening. Bioorganic & Medicinal Chemistry Letters. 24(15). 3614–3617. 17 indexed citations
4.
Li, Hubert, Vinod Kasam, Christofer S. Tautermann, Daniel Seeliger, & Nagarajan Vaidehi. (2014). Computational Method To Identify Druggable Binding Sites That Target Protein–Protein Interactions. Journal of Chemical Information and Modeling. 54(5). 1391–1400. 21 indexed citations
5.
Penthala, Narsimha Reddy, et al.. (2012). 5-((1-Aroyl-1H-indol-3-yl)methylene)-2-thioxodihydropyrimidine-4,6(1H,5H)-diones as potential anticancer agents with anti-inflammatory properties. Bioorganic & Medicinal Chemistry Letters. 23(5). 1442–1446. 29 indexed citations
6.
Wolf, Antje, M. Shahid, Vinod Kasam, Wolfgang Ziegler, & Martin Hofmann‐Apitius. (2010). In Silico Drug Discovery Approaches on Grid Computing Infrastructures. Current Clinical Pharmacology. 5(1). 37–46. 13 indexed citations
7.
8.
Ghanem, Moustafa, et al.. (2010). DockFlow: Achieving interoperability of protein docking tools across heterogeneous Grid middleware. International Journal of Ad Hoc and Ubiquitous Computing. 6(4). 235–235. 3 indexed citations
9.
Degliesposti, Gianluca, Vinod Kasam, Hee‐Kyoung Kang, et al.. (2009). Design and Discovery of Plasmepsin II Inhibitors Using an Automated Workflow on Large‐Scale Grids. ChemMedChem. 4(7). 1164–1173. 28 indexed citations
10.
Wolf, Antje, et al.. (2009). DockFlow - a prototypic PharmaGrid for virtual screening integrating four different docking tools.. PubMed. 147. 3–12. 2 indexed citations
11.
Kasam, Vinod, Jean Salzemann, Gianluca Degliesposti, et al.. (2009). WISDOM-II: Screening against multiple targets implicated in malaria using computational grid infrastructures. Malaria Journal. 8(1). 88–88. 32 indexed citations
12.
Younesi, Erfan, et al.. (2009). Direct use of information extraction from scientific text for modeling and simulation in the life sciences. Library Hi Tech. 27(4). 505–519. 2 indexed citations
13.
Riedel, Morris, et al.. (2009). Life science application support in an interoperable e-science environment. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6. 1–8. 2 indexed citations
14.
Breton, Vincent, Martin Hofmann‐Apitius, Vinod Kasam, et al.. (2007). Virtual screening on large scale grids. Parallel Computing. 33(4-5). 289–301. 17 indexed citations
15.
Salzemann, Jean, Johan Montagnat, Astrid Maaß, et al.. (2007). Grid-enabled Virtual Screening Against Malaria. Journal of Grid Computing. 6(1). 29–43. 44 indexed citations
16.
Kasam, Vinod, et al.. (2007). WISDOM-II. 27–34. 2 indexed citations
17.
Kasam, Vinod, et al.. (2007). Design of New Plasmepsin Inhibitors:  A Virtual High Throughput Screening Approach on the EGEE Grid. Journal of Chemical Information and Modeling. 47(5). 1818–1828. 35 indexed citations
18.
Kasam, Vinod, et al.. (2007). Large Scale Deployment of Molecular Docking Application on Computational Grid infrastructures for Combating Malaria. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 10. 691–700. 5 indexed citations
19.
Kasam, Vinod, Marc Zimmermann, Astrid Maaß, et al.. (2007). Design of New Plasmepsin Inhibitors: A Virtual High Throughput Screening Approach on the EGEE Grid.. ChemInform. 38(49). 7 indexed citations
20.
Birkholtz, Lyn‐Marié, Olivier Bastien, Fourie Joubert, et al.. (2006). Integration and mining of malaria molecular, functional and pharmacological data: how far are we from a chemogenomic knowledge space?. Malaria Journal. 5(1). 110–110. 15 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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