Anika Mann

628 citations
18 papers · 488 · h-index 11

Impact in

    • Neuropeptides and Animal Physiology
    • Neuroscience and Neuropharmacology Research
    • Neurotransmitter Receptor Influence on Behavior
    • Receptor Mechanisms and Signaling
    • Pharmacological Receptor Mechanisms and Effects
    • Protein Kinase Regulation and GTPase Signaling

Papers in

Anika Mann

17 papers receiving 485 citations

Peers

Anika Mann
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 356
  • Molecular Biology 359
  • Physiology 116
  • Anesthesiology and Pain Medicine 13
  • Pharmacology 20
Replace Elke Miess with:
Elke Miess Germany
Erik Mansson United States
Setareh Sianati Australia
Alexandra E. Conibear United Kingdom
Rebecca P. Martinez United States
Jon K. Reel United States
Anne Renouard France
Shreya S. Bellampalli United States
Arsalan Yousuf Australia
Anika Mann relative to Elke Miess Germany Elke Miess's profile →
Citations per field
00.5×1.5×2.4×
Elke Miess · 1×
Citations per year

Countries citing papers authored by Anika Mann

Since Specialization
Citations

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

Fields of papers citing papers by Anika Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2017134
2 2012104
3 201439
4 201339
5 201931
6 201326
7 201521
8 202019
9 201419
10 202114
11 201211
12 20178
13 20226
14 19856
15 20155
16 20213
17 20233
18 20050

About Anika Mann

Anika Mann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 488 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (11 papers), Pain Mechanisms and Treatments (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (356 citations), Molecular Biology (359 citations), Physiology (116 citations), Anesthesiology and Pain Medicine (13 citations) and Pharmacology (20 citations). Anika Mann has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Stefan Schulz, Elke Miess, Andrea Kliewer, Thomas Günther, Sebastian Fritzwanker, Elaine K. Lau, Jonathan C. Trinidad, Alma L. Burlingame, Christian Doll and Mark von Zastrow. Their work appears in journals such as Scientific Reports, British Journal of Pharmacology, Molecular Pharmacology, Molecular Endocrinology and Human Cell.

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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