Janne T. Backman

16.2k citations
213 papers · 12.5k indexed · 2 hit papers · h-index 64
Topics
Pharmacogenetics and Drug Metabolism (105 papers)Drug Transport and Resistance Mechanisms (80 papers)Pharmacological Effects and Toxicity Studies (48 papers)
Partner nations
FinlandGermanySweden

In The Last Decade

Janne T. Backman

208 papers receiving 12.1k citations

Hit Papers

Drug interactions with lipid-lowering drugs: Mechanisms a...200320262010201820062003200400600

Peers

Janne T. Backman
Comparison fields: 5 of 147
  • Pharmacology 5.8k
  • Oncology 4.5k
  • Pediatrics, Perinatology and Child Health 2.5k
  • Pharmacology 1.9k
  • Surgery 1.9k
Replace Mikko Niemi with:
Mikko Niemi Finland
Amin Rostami‐Hodjegan United Kingdom
Ivar Roots Germany
Jürgen Brockmöller Germany
John O. Miners Australia
David A. Flockhart United States
Martin F. Fromm Germany
Ulrich M. Zanger Germany
Lisa L. von Moltke United States
Andrea Gaedigk United States
Janne T. Backman relative to Mikko Niemi Finland Mikko Niemi's profile →
Citations per field
00.5×1.5×1.8×
Mikko Niemi · 1×
Citations per year

Countries citing papers authored by Janne T. Backman

Since Specialization
Citations

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

Fields of papers citing papers by Janne T. Backman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janne T. Backman

This figure shows the co-authorship network connecting the top 25 collaborators of Janne T. Backman. A scholar is included among the top collaborators of Janne T. Backman 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 Janne T. Backman. Janne T. Backman 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 2
2 3
3 7
4 5
5 0
6 2
7 3
8 6
9 79
10 194
11 49
12 61
13 15
14 17
15
Drug interactions with lipid-lowering drugs: Mechanisms and clinical relevancebreakdown →
635
16 97
17 31
18 134
19 26
20 83

About Janne T. Backman

Janne T. Backman is a scholar working on Pharmacology, Oncology and Pharmacology, having authored 213 papers that have together received 12.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (105 papers), Drug Transport and Resistance Mechanisms (80 papers) and Pharmacological Effects and Toxicity Studies (48 papers). The work is most often cited by research in Pharmacology (5.8k citations), Oncology (4.5k citations) and Pediatrics, Perinatology and Child Health (2.5k citations). Janne T. Backman has collaborated with scholars based in Finland, Germany and Sweden. Frequent co-authors include Pertti J. Neuvonen, Mikko Niemi, Mikko Neuvonen, Jouko Laitila, Klaus T. Olkkola, Aleksi Tornio, Kari T. Kivistö, Anne M. Filppula, Lauri Kajosaari and Wen Xia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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