Tomer Altman

4.4k citations
12 papers · 2.7k indexed · 3 hit papers · h-index 10
Topics
Microbial Metabolic Engineering and Bioproduction (9 papers)Bioinformatics and Genomic Networks (7 papers)Genomics and Phylogenetic Studies (4 papers)

In The Last Decade

Tomer Altman

12 papers receiving 2.7k citations

Hit Papers

The MetaCyc database of metabolic pathways and enzymes an...2009202620142020201320092022250500750

Peers

Tomer Altman
Comparison fields: 5 of 135
  • Molecular Biology 2.0k
  • Ecology 442
  • Plant Science 391
  • Biomedical Engineering 365
  • Genetics 205
Replace Daniel Weaver with:
Daniel Weaver United States
Quang Ong United States
Carol A. Fulcher United States
Wai Kit Ong United States
Hartmut Foerster United States
Pallavi Subhraveti United States
Anamika Kothari United States
Jeremy Zucker United States
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Friedhelm Meinhardt Germany
Tomer Altman relative to Daniel Weaver United States Daniel Weaver's profile →
Citations per field
00.5×
Daniel Weaver · 1×
Citations per year

Countries citing papers authored by Tomer Altman

Since Specialization
Citations

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

Fields of papers citing papers by Tomer Altman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Altman

This figure shows the co-authorship network connecting the top 25 collaborators of Tomer Altman. A scholar is included among the top collaborators of Tomer Altman 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 Tomer Altman. Tomer Altman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1
Petabase-scale sequence alignment catalyses viral discoverybreakdown →
264
2 21
3 7
4 14
5 37
6
The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databasesbreakdown →
867
7 118
8 6
9 457
10 27
11 376
12
Pathway Tools version 13.0: integrated software for pathway/genome informatics and systems biologybreakdown →
538

About Tomer Altman

Tomer Altman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Ecology, having authored 12 papers that have together received 2.7k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (9 papers), Bioinformatics and Genomic Networks (7 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Endocrinology (97 citations) and Ecology (442 citations). Tomer Altman has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Peter D. Karp, Suzanne Paley, Markus Krummenacker, Ron Caspi, Mario Latendresse, Ingrid M. Keseler, Kate Dreher, Lukas A. Mueller, Anamika Kothari and Quang Ong. Their work appears in journals such as Nature, Nucleic Acids Research and PLoS ONE.

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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