Christian Wanamaker

589 citations
11 papers · 450 · h-index 9

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Ion channel regulation and function 4
    • Nicotinic Acetylcholine Receptors Study 4
    • Cellular transport and secretion 3
    • Endoplasmic Reticulum Stress and Disease 2

Christian Wanamaker

10 papers receiving 438 citations

Peers

Christian Wanamaker
Comparison fields: 5 of 67
  • Aging 11
  • Cell Biology 87
  • Computational Mathematics 3
  • Cellular and Molecular Neuroscience 88
  • Molecular Biology 275
Replace Fengjuan Gao with:
Fengjuan Gao China
Xin Xia China
Clémence Levet United Kingdom
Mümine Şentürk United States
Johan Geysen Belgium
Alberto de Luis Spain
Annelie Maaß United Kingdom
Karen N. Bradley United Kingdom
Alex Galaz Chile
Christoph P. Dohm Germany
Christian Wanamaker relative to Fengjuan Gao China Fengjuan Gao's profile →
Citations per field
00.5×3.7×
Fengjuan Gao · 1×
Citations per year

Countries citing papers authored by Christian Wanamaker

Since Specialization
Citations

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

Fields of papers citing papers by Christian Wanamaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201588
2 200376
3 199775
4 200263
5 199840
6 200539
7 200738
8 200115
9 200912
10 20154
11 20220

About Christian Wanamaker

Christian Wanamaker is a scholar working on Molecular Biology, Cell Biology, Immunology, Insect Science and Genetics, having authored 11 papers that have together received 450 indexed citations. Recurring topics across this work include Ion channel regulation and function (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Cellular transport and secretion (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Insect and Pesticide Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Aging (11 citations), Cell Biology (87 citations), Computational Mathematics (3 citations), Cellular and Molecular Neuroscience (88 citations) and Molecular Biology (275 citations). Christian Wanamaker has collaborated with scholars based in United States, Bulgaria and Japan. Frequent co-authors include William N. Green, John C. Christianson, He Wang, Xiaohong Joe Zhou, Yi Sui, Frederick W. Damen, Yuhua Li, Jae Yoon Leem, Takeshi Iwatsubo and Gopal Thinakaran. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Emergency Radiology, Annals of the New York Academy of Sciences and Radiology.

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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