Victor Olman

2.3k citations
54 papers · 1.6k indexed · h-index 20

Impact in

    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • Machine Learning in Bioinformatics

Papers in

    • Genomics and Phylogenetic Studies 23
    • RNA and protein synthesis mechanisms 21
    • Machine Learning in Bioinformatics 11
    • Bioinformatics and Genomic Networks 8
    • Gene expression and cancer classification 8
    • Protein Structure and Dynamics 5

Victor Olman

52 papers receiving 1.6k citations

Peers

Victor Olman
Comparison fields: 5 of 131
  • Molecular Biology 1.1k
  • Endocrinology 53
  • Ecology 201
  • Genetics 215
  • Cancer Research 102
Replace Alberto Paccanaro with:
Alberto Paccanaro United Kingdom
Michael J. Wise Australia
Edward C. Uberbacher United States
Patrik D’haeseleer United States
Norman Morrison United States
Hideo Matsuda Japan
B. F. Francis Ouellette Canada
Yoshiki Tanaka Japan
Jens Stoye Germany
Philip Bucher Germany
Victor Olman relative to Alberto Paccanaro United Kingdom Alberto Paccanaro's profile →
Citations per field
00.5×1.5×
Alberto Paccanaro · 1×
Citations per year

Countries citing papers authored by Victor Olman

Since Specialization
Citations

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

Fields of papers citing papers by Victor Olman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Victor Olman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Victor Olman Line = papers co-authored together Victor Olman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201460
2 201215
3 201120
4 201027
5 20109
6 2010166
7 200945
8 200834
9 20089
10 2008289
11 200867
12 20083
13 20078
14 2006129
15 20056
16 20040
17 200425
18 200331
19
Computational inference of regulatory pathways in microbes: an application to phosphorus assimilation pathways in Synechococcus sp. WH8102.
200317
20 199411

About Victor Olman

Victor Olman is a scholar working on Molecular Biology, Endocrinology, Spectroscopy, Ecology and Genetics, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (23 papers), RNA and protein synthesis mechanisms (21 papers), Machine Learning in Bioinformatics (11 papers), Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (8 papers), Protein Structure and Dynamics (5 papers), Advanced Proteomics Techniques and Applications (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Endocrinology (53 citations), Ecology (201 citations), Genetics (215 citations) and Cancer Research (102 citations). Victor Olman has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ying Xu, Dong Xu, Phuongan Dam, Fenglou Mao, Zhengchang Su, Fengfeng Zhou, Ying Xu, Ying Xu, Kyle Harris and Hongwei Wu. Their work appears in journals such as Journal of Bioinformatics and Computational Biology, Nucleic Acids Research, BMC Genomics, Bioinformatics and Chromosoma.

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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