Wayne Albers

977 citations
13 papers · 774 · 1 hit paper · h-index 12

Impact in

Papers in

Wayne Albers

13 papers receiving 744 citations

Wayne Albers's Hit Papers

DISTRIBUTION OF CATECHOL‐O‐METHYL TRANSFERASE IN THE NERVOUS SYSTEM AND OTHER TISSUES 1959 · 151 citations
1510+22+44Years since publication50100150

Peers

Wayne Albers
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 201
  • Cell Biology 148
  • Physiology 176
  • Molecular Biology 423
  • Biological Psychiatry 14
Replace M. Fountoulakis with:
M. Fountoulakis Switzerland
Hatsue Waki Japan
George K. E. Umanah United States
Ryoichi Ishitani Japan
Reiko Onuki Japan
P. Nelson United States
Daniel S. Spellman United States
Jamil Kanaani United States
Suho Lee South Korea
Mariana Melani Argentina
Wayne Albers relative to M. Fountoulakis Switzerland M. Fountoulakis's profile →
Citations per field
00.5×1.5×1.9×
M. Fountoulakis · 1×
Citations per year

Countries citing papers authored by Wayne Albers

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Albers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
DISTRIBUTION OF CATECHOL‐O‐METHYL TRANSFERASE IN THE NERVOUS SYSTEM AND OTHER TISSUES
Hit paper breakdown →
1959151
2 2004143
3 201074
4 200273
5 200864
6 199363
7 200260
8 200746
9 200928
10 195926
11 200825
12 199220
13
金とアルミニウム表面上への抗-hCG(ヒト胎盤性性腺刺激ホルモン)の固定
19901

About Wayne Albers

Wayne Albers is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cell Biology and Infectious Diseases, having authored 13 papers that have together received 774 indexed citations. Recurring topics across this work include Nerve injury and regeneration (3 papers), Signaling Pathways in Disease (3 papers), Cancer-related Molecular Pathways (3 papers), Microtubule and mitosis dynamics (2 papers), Photoreceptor and optogenetics research (2 papers), Folate and B Vitamins Research (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (201 citations), Cell Biology (148 citations), Physiology (176 citations), Molecular Biology (423 citations) and Biological Psychiatry (14 citations). Wayne Albers has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Harish C. Pant, Niranjana D. Amin, Julius Axelrod, Carmine Clemente, Sashi Kesavapany, Yali Zheng, Philip Grant, Parvathi Rudrabhatla, Manfred Schubert and Rebecca S. Hamilton. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Journal of Neurochemistry, Molecular Biology of the Cell and Nature.

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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