MO Karlsson

29 papers receiving 1.2k citations

MO Karlsson's Hit Papers

Modeling and Simulation Workbench for NONMEM: Tutorial on Pirana, PsN, and Xpose 2013 · 546 citations
5460+4+8Years since publication100200300400500

Peers

MO Karlsson
Comparison fields: 5 of 109
  • Statistics and Probability 142
  • Pharmacology 125
  • Transplantation 32
  • Pharmacology 175
  • Hematology 109
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Nidal Al‐Huniti United States
Christian Laveille France
Jakob Ribbing Sweden
Marylore Chenel France
Dong‐Seok Yim South Korea
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Countries citing papers authored by MO Karlsson

Since Specialization
Citations

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

Fields of papers citing papers by MO Karlsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside MO Karlsson, 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 MO Karlsson Line = papers co-authored together MO Karlsson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modeling and Simulation Workbench for NONMEM: Tutorial on Pirana, PsN, and Xpose
Hit paper breakdown →
2013546
2 200773
3 201665
4
Busulphan kinetics and limited sampling model in children with leukemia and inherited disorders.
199665
5 200160
6 200856
7 201346
8 200845
9 201344
10 201334
11 200924
12 201721
13 201620
14 199619
15 201518
16 201617
17 201316
18 201716
19 201612
20 198612

About MO Karlsson

MO Karlsson is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism, Economics and Econometrics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (7 papers), Diabetes Treatment and Management (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Diabetes Management and Research (4 papers), Gastrointestinal motility and disorders (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Statistics and Probability (142 citations), Pharmacology (125 citations), Transplantation (32 citations), Pharmacology (175 citations) and Hematology (109 citations). MO Karlsson has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Andrew C. Hooker, Lena E. Friberg, Martin Bergstrand, Rikard Sandström, M-L Dahl, Jonas Cederberg, E. Niclas Jonsson, Erik Björk, Maria Sunzel and Bengt Hamrén. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics, Antimicrobial Agents and Chemotherapy, Bone Marrow Transplantation and Journal of the International AIDS Society.

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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