Ian T. Paulsen

79.4k citations
312 papers · 22.7k indexed · 7 hit papers · h-index 82
Topics
Antibiotic Resistance in Bacteria (74 papers)Bacterial Genetics and Biotechnology (61 papers)Microbial Community Ecology and Physiology (59 papers)

In The Last Decade

Ian T. Paulsen

306 papers receiving 22.2k citations

Hit Papers

Major Facilitator Superfamily19962026200620161998199620092009200350010001.5k

Peers

Ian T. Paulsen
Comparison fields: 5 of 191
  • Molecular Biology 11.5k
  • Molecular Medicine 4.9k
  • Ecology 4.6k
  • Genetics 3.7k
  • Plant Science 2.8k
Replace Ivica Letunić with:
Ivica Letunić Germany
Graham C. Walker United States
Alfred Pühler Germany
James A. Imlay United States
Thomas Madden United States
Milton H. Saier United States
Robert A. Edwards United States
Frederick M. Ausubel United States
Roberto Kolter United States
Kenneth N. Timmis Germany
Ian T. Paulsen relative to Ivica Letunić Germany Ivica Letunić's profile →
Citations per field
00.5×2.9×
Ivica Letunić · 1×
Citations per year

Countries citing papers authored by Ian T. Paulsen

Since Specialization
Citations

This map shows the geographic impact of Ian T. Paulsen'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 Ian T. Paulsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian T. Paulsen more than expected).

Fields of papers citing papers by Ian T. Paulsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian T. Paulsen. 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 Ian T. Paulsen. The network helps show where Ian T. Paulsen may publish in the future.

Co-authorship network of co-authors of Ian T. Paulsen

This figure shows the co-authorship network connecting the top 25 collaborators of Ian T. Paulsen. A scholar is included among the top collaborators of Ian T. Paulsen 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 Ian T. Paulsen. Ian T. Paulsen 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 0
2 11
3 2
4 3
5 22
6 2
7 27
8 5
9 14
10 10
11 34
12 17
13 22
14 26
15 1
16 133
17 17
18 135
19 205
20 94

About Ian T. Paulsen

Ian T. Paulsen is a scholar working on Molecular Medicine, Endocrinology and Ecology, having authored 312 papers that have together received 22.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (74 papers), Bacterial Genetics and Biotechnology (61 papers) and Microbial Community Ecology and Physiology (59 papers). The work is most often cited by research in Molecular Medicine (4.9k citations), Endocrinology (2.0k citations) and Ecology (4.6k citations). Ian T. Paulsen has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Milton H. Saier, Ronald A. Skurray, Melissa H. Brown, Karl A. Hassan, Sasha G. Tetu, Michael R. Gillings, Liam D. H. Elbourne, Anahit Penesyan, Marek K. Sliwinski and Bart A. Eijkelkamp. Their work appears in journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

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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