Martin Grigorov

2.0k total citations
30 papers, 1.6k citations indexed

About

Martin Grigorov is a scholar working on Molecular Biology, Computational Theory and Mathematics and Surgery. According to data from OpenAlex, Martin Grigorov has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Surgery. Recurrent topics in Martin Grigorov's work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Martin Grigorov is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Martin Grigorov collaborates with scholars based in Switzerland, France and Canada. Martin Grigorov's co-authors include Gary Williamson, Holger Scheib, Elena Lo Piparo, Chieh Jason Chou, Ziding Zhang, Sunil Kochhar, David R. Jacobs, Ziad Ramadan, Benoı̂t Schilter and Michael Affolter and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and The Journal of Immunology.

In The Last Decade

Martin Grigorov

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Grigorov Switzerland 18 572 242 232 209 206 30 1.6k
Chandralal M. Hewage Ireland 22 996 1.7× 293 1.2× 115 0.5× 87 0.4× 271 1.3× 69 1.7k
José Antonio Encinar Spain 28 1.3k 2.4× 154 0.6× 124 0.5× 308 1.5× 64 0.3× 85 2.3k
Insaf Ahmed Qureshi India 27 1000 1.7× 259 1.1× 74 0.3× 239 1.1× 75 0.4× 125 2.2k
Shanshan Wang China 24 692 1.2× 224 0.9× 58 0.3× 179 0.9× 138 0.7× 82 2.0k
Tristan D. Booth United States 20 1.0k 1.8× 117 0.5× 96 0.4× 260 1.2× 79 0.4× 24 2.8k
Yara Maria Lucisano-Valim Brazil 25 540 0.9× 396 1.6× 109 0.5× 525 2.5× 109 0.5× 77 2.1k
Masood Alam Khan Saudi Arabia 27 710 1.2× 279 1.2× 73 0.3× 456 2.2× 107 0.5× 121 2.4k
M. Iqbal India 24 672 1.2× 147 0.6× 99 0.4× 183 0.9× 51 0.2× 43 1.8k
Yi Ding China 28 1.9k 3.3× 306 1.3× 184 0.8× 234 1.1× 107 0.5× 99 3.4k
Mohammad Khalid Parvez Saudi Arabia 25 494 0.9× 517 2.1× 70 0.3× 71 0.3× 104 0.5× 182 2.2k

Countries citing papers authored by Martin Grigorov

Since Specialization
Citations

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

Fields of papers citing papers by Martin Grigorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Grigorov

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Grigorov. A scholar is included among the top collaborators of Martin Grigorov 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 Martin Grigorov. Martin Grigorov 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.
Grigorov, Martin. (2011). Analysis of Time Course Omics Datasets. Methods in molecular biology. 719. 153–172. 8 indexed citations
2.
Comelli, Elena M., Marie-Camille Zwahlen, James A. Holzwarth, et al.. (2009). Biomarkers of human gastrointestinal tract regions. Mammalian Genome. 20(8). 516–527. 41 indexed citations
3.
Williamson, Gary, Isabelle Herter‐Aeberli, Ziding Zhang, et al.. (2007). Interaction of Positional Isomers of Quercetin Glucuronides with the Transporter ABCC2 (cMOAT, MRP2). Drug Metabolism and Disposition. 35(8). 1262–1268. 67 indexed citations
4.
5.
Zhang, Ziding, et al.. (2006). Computational Studies of Ligand-Receptor Interactions in Bitter Taste Receptors. Journal of Receptors and Signal Transduction. 26(5-6). 611–630. 30 indexed citations
6.
Mutch, David M., Laëtitia Fauconnot, Martin Grigorov, & Laurent B. Fay. (2006). Putting the ‘Ome’ in lipid metabolism. PubMed. 12. 67–84. 11 indexed citations
7.
Grigorov, Martin. (2006). Global dynamics of biological systems from time-resolved omics experiments. Bioinformatics. 22(12). 1424–1430. 9 indexed citations
8.
Zhang, Ziding, Sunil Kochhar, & Martin Grigorov. (2005). Descriptor‐based protein remote homology identification. Protein Science. 14(2). 431–444. 29 indexed citations
9.
Ramadan, Ziad, David R. Jacobs, Martin Grigorov, & Sunil Kochhar. (2005). Metabolic profiling using principal component analysis, discriminant partial least squares, and genetic algorithms. Talanta. 68(5). 1683–1691. 154 indexed citations
10.
Mutch, David M., Martin Grigorov, Alvin Berger, et al.. (2005). An integrative metabolism approach identifies stearoyl‐CoA desaturase as a target for an arachidonate‐enriched diet. The FASEB Journal. 19(6). 1–20. 26 indexed citations
11.
Zhang, Ziding & Martin Grigorov. (2005). Similarity networks of protein binding sites. Proteins Structure Function and Bioinformatics. 62(2). 470–478. 43 indexed citations
12.
Grigorov, Martin. (2005). Global properties of biological networks. Drug Discovery Today. 10(5). 365–372. 34 indexed citations
13.
Marin‐Kuan, Maricel, Sandra Nestler, Claudine Bezençon, et al.. (2005). A Toxicogenomics Approach to Identify New Plausible Epigenetic Mechanisms of Ochratoxin A Carcinogenicity in Rat. Toxicological Sciences. 89(1). 120–134. 129 indexed citations
14.
Rushmere, Neil K., Martin Grigorov, Stephen D Lawn, et al.. (2003). Soluble Forms of Toll-Like Receptor (TLR)2 Capable of Modulating TLR2 Signaling Are Present in Human Plasma and Breast Milk. The Journal of Immunology. 171(12). 6680–6689. 274 indexed citations
15.
Grigorov, Martin, Hedwig Schlichtherle‐Cerny, Michael Affolter, & Sunil Kochhar. (2003). Design of Virtual Libraries of Umami-Tasting Molecules. Journal of Chemical Information and Computer Sciences. 43(4). 1248–1258. 12 indexed citations
16.
Stadler, Richard H., Ludovica Verzegnassi, Natalia Varga, et al.. (2003). Formation of Vinylogous Compounds in Model Maillard Reaction Systems. Chemical Research in Toxicology. 16(10). 1242–1250. 80 indexed citations
17.
Zhang, Ziding, Sunil Kochhar, & Martin Grigorov. (2003). Exploring the sequence‐structure protein landscape in the glycosyltransferase family. Protein Science. 12(10). 2291–2302. 12 indexed citations
18.
Grigorov, Martin, et al.. (1998). Numerical evaluation of the internal orbitally resolved chemical hardness tensor: Second order chemical reactivity through thermal density functional theory. The Journal of Chemical Physics. 108(21). 8790–8798. 14 indexed citations
19.
Grigorov, Martin, Jacques Weber, Henry Chermette, & Jean M. J. Tronchet. (1997). Numerical evaluation of the internal orbitally resolved chemical hardness tensor in density functional theory. International Journal of Quantum Chemistry. 61(3). 551–562. 21 indexed citations
20.
Tronchet, Jean M. J., et al.. (1995). Yet Another Mechanism of HIV Reverse Transcriptase Inhibition?. Nucleosides Nucleotides & Nucleic Acids. 14(3). 511–515. 1 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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