Christopher B. Eckman

18.3k citations
78 papers · 12.6k indexed · 6 hit papers · h-index 50

Christopher B. Eckman

78 papers receiving 12.3k citations

Hit Papers

The high-affinity HSP90-CHIP complex recognizes and...50719942026200420154008001.2k

Peers

Christopher B. Eckman
Comparison fields: 5 of 130
  • Physiology 9.3k
  • Neurology 1.5k
  • Biological Psychiatry 417
  • Pharmacology 2.4k
  • Cellular and Molecular Neuroscience 2.3k
Replace Marc Mercken with:
Marc Mercken Belgium
Mary P. Lambert United States
Akihiko Takashima Japan
Frédéric Checler France
Martin Citron United States
Gunnar K. Gouras Sweden
Nobuhisa Iwata Japan
Fusheng Yang United States
Kirsten L. Viola United States
Gopal Thinakaran United States
Christopher B. Eckman relative to Marc Mercken Belgium Marc Mercken's profile →
Citations per field
00.5×1.5×
Marc Mercken · 1×
Citations per year

Countries citing papers authored by Christopher B. Eckman

Since Specialization
Citations

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

Fields of papers citing papers by Christopher B. Eckman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher B. Eckman. 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 Christopher B. Eckman. The network helps show where Christopher B. Eckman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201632
2 2011205
3 20107
4 200919
5 200831
6 20065
7 2006165
8 200633
9 200582
10 2004202
11 2004221
12 200451
13 2004230
14 200467
15
Insulin-degrading enzyme regulates the levels of insulin, amyloid β-protein, and the β-amyloid precursor protein intracellular domain in vivobreakdown →
20031191
16 200364
17
The 'Arctic' APP mutation (E693G) causes Alzheimer's disease by enhanced Aβ protofibril formationbreakdown →
2001943
18 2001126
19 199945
20
Amyloid β Protein (Aβ) in Alzheimeri's Disease Brainbreakdown →
1995553

About Christopher B. Eckman

Christopher B. Eckman is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pharmacology, having authored 78 papers that have together received 12.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (55 papers), Cholinesterase and Neurodegenerative Diseases (18 papers), Prion Diseases and Protein Misfolding (12 papers), Nuclear Receptors and Signaling (9 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Physiology (9.3k citations), Neurology (1.5k citations) and Biological Psychiatry (417 citations). Christopher B. Eckman has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Elizabeth A. Eckman, Steven G. Younkin, Todd E. Golde, Nobuhiro Suzuki, László Ötvös, Rudolph E. Tanzi, Asano Odaka, Tobun T. Cheung, Dennis J. Selkoe and Wesley Farris. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Neurobiology of Aging, Neuron and Proceedings of the National Academy of Sciences.

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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