Lene Martini

2.0k citations
25 papers · 1.6k · h-index 19

Impact in

Papers in

Lene Martini

24 papers receiving 1.6k citations

Peers

Lene Martini
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 689
  • Pharmacology 373
  • Endocrinology, Diabetes and Metabolism 273
  • Cardiology and Cardiovascular Medicine 286
  • Molecular Biology 821
Replace Catalin M. Filipeanu with:
Catalin M. Filipeanu United States
Jonathon M. Willets United Kingdom
André De Léan Canada
Jill B. Jensen United States
Samuel J. Strada United States
Scott M. DeWire United States
Jason A. Holt United States
Philippe Samama United States
T J Murphy United States
Takeo Awaji Japan
Lene Martini relative to Catalin M. Filipeanu United States Catalin M. Filipeanu's profile →
Citations per field
00.5×1.6×
Catalin M. Filipeanu · 1×
Citations per year

Countries citing papers authored by Lene Martini

Since Specialization
Citations

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

Fields of papers citing papers by Lene Martini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005340
2 2007188
3 2010171
4 2006114
5 200784
6 200183
7 200473
8 200573
9 199473
10 200463
11 201062
12 200550
13 200848
14 200137
15 201036
16 200233
17 199526
18 199524
19 201023
20 201116

About Lene Martini

Lene Martini is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Surgery and Oncology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Neuropeptides and Animal Physiology (10 papers), Cannabis and Cannabinoid Research (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Pancreatic function and diabetes (3 papers), Hypothalamic control of reproductive hormones (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (689 citations), Pharmacology (373 citations), Endocrinology, Diabetes and Metabolism (273 citations), Cardiology and Cardiovascular Medicine (286 citations) and Molecular Biology (821 citations). Lene Martini has collaborated with scholars based in United States, Denmark and Austria. Frequent co-authors include Jennifer L. Whistler, Thue W. Schwartz, Evi Kostenis, Maria Waldhoer, Graeme Milligan, Dawn Thompson, Heinz‐Peter Schultheiss, Carlos F. Sánchez‐Ferrer, Florian Gembardt and Arthur Christopoulos. Their work appears in journals such as Endocrinology, Traffic, Molecular Pharmacology, Journal of Biological Chemistry and British Journal of Pharmacology.

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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