Martin Grigorov

2.0k citations
30 papers · 1.6k indexed · h-index 18
Topics
Computational Drug Discovery Methods (7 papers)Protein Structure and Dynamics (6 papers)Metabolomics and Mass Spectrometry Studies (4 papers)
Partner nations
SwitzerlandFranceCanada

In The Last Decade

Martin Grigorov

30 papers receiving 1.5k citations

Peers

Martin Grigorov
Comparison fields: 5 of 139
  • Molecular Biology 572
  • Plant Science 242
  • Nutrition and Dietetics 232
  • Immunology 209
  • Endocrinology, Diabetes and Metabolism 206
Replace Chandralal M. Hewage with:
Chandralal M. Hewage Ireland
José Antonio Encinar Spain
Insaf Ahmed Qureshi India
Vibha Tandon India
Tristan D. Booth United States
Joanna Stefańska Poland
Shanshan Wang China
Yi Ding China
Satoshi Nagaoka Japan
Eileen Ryan Australia
Martin Grigorov relative to Chandralal M. Hewage Ireland Chandralal M. Hewage's profile →
Citations per field
00.5×1.5×2.4×
Chandralal M. Hewage · 1×
Citations per year

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
#WorkIndexed citations
1 8
2 41
3 67
4 16
5 30
6 11
7 9
8 29
9 154
10 26
11 43
12 34
13 129
14 274
15 12
16 80
17 12
18 14
19 21
20 1

About Martin Grigorov

Martin Grigorov is a scholar working on Computational Theory and Mathematics, Molecular Biology and Physical and Theoretical Chemistry, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Biochemistry (171 citations), Nutrition and Dietetics (232 citations) and Endocrinology, Diabetes and Metabolism (206 citations). Martin Grigorov has collaborated with scholars based in Switzerland, France and Canada. Frequent 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. Their work appears in journals such as The Journal of Chemical Physics, Bioinformatics and The Journal of Immunology.

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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