L. Faerber

23 papers receiving 506 citations

Peers

L. Faerber
Comparison fields: 5 of 64
  • Transplantation 76
  • Biological Psychiatry 5
  • Cellular and Molecular Neuroscience 57
  • Drug Discovery 1
  • Pharmacology 30
Replace L. Färber with:
L. Färber Germany
Sang Woo Han South Korea
Sven‐Olof Bohman Sweden
Christoph Wanner Germany
P. J. Miach Australia
Jeff Smith United Kingdom
Tomoh Masaki Japan
Peter Rohmeiss Germany
Andrea Ercole Satta Italy
Hidenobu Tsutsui Japan
L. Faerber relative to L. Färber Germany L. Färber's profile →
Citations per field
00.5×2×3×3.7×
L. Färber · 1×
Citations per year

Countries citing papers authored by L. Faerber

Since Specialization
Citations

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

Fields of papers citing papers by L. Faerber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007183
2 200164
3 200954
4 201144
5 200023
6 201723
7 201621
8 201921
9 200716
10 201613
11 199712
12
Dose comparison of tropisetron (Navoban) 5 mg and 10 mg orally in the prophylaxis of dacarbazine-induced nausea and emesis.
19948
13 19968
14 20068
15 20158
16
Prevention of chemotherapy-induced nausea and vomiting by tropisetron (Navoban) alone or in combination with other antiemetic agents.
19947
17 20175
18 19933
19 20023
20 19932

About L. Faerber

L. Faerber is a scholar working on Pharmaceutical Science, Nephrology, Transplantation, Critical Care and Intensive Care Medicine and Surgery, having authored 23 papers that have together received 529 indexed citations. Recurring topics across this work include Nausea and vomiting management (6 papers), Drug Solubulity and Delivery Systems (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Thermal Regulation in Medicine (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Pharmaceutical studies and practices (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). The work is most often cited by research in Transplantation (76 citations), Biological Psychiatry (5 citations), Cellular and Molecular Neuroscience (57 citations), Drug Discovery (1 citation) and Pharmacology (30 citations). L. Faerber has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Sabine Drechsler, Harald Gschaidmeier, S. Ladenburger, Frieder Kees, Michael Hecht-Bucher, Frank Schweda, Matthias Braeutigam, Enno Christophers, Gottfried Weidinger and H Meffert. Their work appears in journals such as Journal of Thermal Biology, The Journal of Clinical Pharmacology, European Journal of Cancer, Naunyn-Schmiedeberg s Archives of Pharmacology and Supportive Care in Cancer.

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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