Thomas Eißing

3.1k citations
68 papers · 2.5k · 1 hit paper · h-index 26

Impact in

Papers in

Thomas Eißing

62 papers receiving 2.4k citations

Thomas Eißing's Hit Papers

Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model 2016 · 325 citations
3250+3+6Years since publication100200300

Peers

Thomas Eißing
Comparison fields: 5 of 123
  • Pediatrics, Perinatology and Child Health 707
  • Pharmacology 474
  • Pharmaceutical Science 98
  • Nephrology 96
  • Statistics and Probability 118
Replace Charlotte Kloft with:
Charlotte Kloft Germany
Yoshitaka Yano Japan
Flora Tshinanu Musuamba Belgium
Jörg Lippert Germany
David Z. D’Argenio United States
Rajanikanth Madabushi United States
Kenta J. Yoshida Japan
Peter L. Bonate United States
Iñaki F. Trocóniz Spain
Lars Kuepfer Germany
Thomas Eißing relative to Charlotte Kloft Germany Charlotte Kloft's profile →
Citations per field
00.5×2×3×
Charlotte Kloft · 1×
Citations per year

Countries citing papers authored by Thomas Eißing

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Eißing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model
Hit paper breakdown →
2016325
2 2004244
3 2011168
4 2018138
5 2017102
6 201693
7 201792
8 200875
9 201773
10 201766
11 201360
12 200559
13 201859
14 201851
15 201250
16 201742
17 201940
18 202038
19 201636
20 201936

About Thomas Eißing

Thomas Eißing is a scholar working on Pediatrics, Perinatology and Child Health, Pharmacology, Nephrology, Statistics and Probability and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (21 papers), Gene Regulatory Network Analysis (11 papers), Pharmacogenetics and Drug Metabolism (9 papers), Cell death mechanisms and regulation (9 papers), Chronic Kidney Disease and Diabetes (8 papers), Statistical Methods in Clinical Trials (7 papers), Computational Drug Discovery Methods (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (707 citations), Pharmacology (474 citations), Pharmaceutical Science (98 citations), Nephrology (96 citations) and Statistics and Probability (118 citations). Thomas Eißing has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefan Willmann, Frank Allgöwer, Jörg Lippert, Eric Bullinger, André Dallmann, Thomas Wendl, Jan‐Frederik Schlender, Lars Kuepfer, Ibrahim Ince and Christoph Niederalt. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacokinetics, Frontiers in Physiology, Eye and Clinical Pharmacology & 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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