KM Giacomini

2.1k citations
28 papers · 1.5k indexed · h-index 17
Topics
Drug Transport and Resistance Mechanisms (19 papers)Pharmacogenetics and Drug Metabolism (7 papers)Pharmacological Effects and Toxicity Studies (6 papers)

In The Last Decade

KM Giacomini

28 papers receiving 1.4k citations

Peers

KM Giacomini
Comparison fields: 5 of 91
  • Oncology 715
  • Molecular Biology 512
  • Pediatrics, Perinatology and Child Health 400
  • Pharmacology 323
  • Endocrinology, Diabetes and Metabolism 261
Replace Kari M. Morrissey with:
Kari M. Morrissey United States
Kelly Bleasby United States
Sevasti B. Koukouritaki United States
Richard A. Castro United States
Ho Jung Shin South Korea
Masayuki Tsujimoto Japan
Chaline Brown United States
Michael Török Switzerland
Michiko Kawamoto United States
Nathan J. Cherrington United States
KM Giacomini relative to Kari M. Morrissey United States Kari M. Morrissey's profile →
Citations per field
00.5×1.5×1.8×
Kari M. Morrissey · 1×
Citations per year

Countries citing papers authored by KM Giacomini

Since Specialization
Citations

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

Fields of papers citing papers by KM Giacomini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of KM Giacomini

This figure shows the co-authorship network connecting the top 25 collaborators of KM Giacomini. A scholar is included among the top collaborators of KM Giacomini 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 KM Giacomini. KM Giacomini 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 3
2 5
3 12
4 69
5 53
6 94
7 41
8 49
9 126
10 130
11 3
12 55
13 37
14 3
15 102
16 360
17 2
18 14
19 7
20 32

About KM Giacomini

KM Giacomini is a scholar working on Pharmacology, Oncology and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (19 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Pharmacological Effects and Toxicity Studies (6 papers). The work is most often cited by research in Pharmacology (323 citations), Oncology (715 citations) and Pediatrics, Perinatology and Child Health (400 citations). KM Giacomini has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include R A Castro, Sook Wah Yee, P. Hsyu, C. Randell Brown, EG Burchard, S-M Huang, Yan Shu, Richard Owen, L Zhang and Kari M. Morrissey. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Journal of Pharmacology and Experimental Therapeutics.

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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