Kristin E. Long

1.2k citations
8 papers · 1.0k indexed · 1 hit paper · h-index 7

Impact in

Papers in

Kristin E. Long

8 papers receiving 1.0k citations

Hit Papers

Amyloid β Protein (Aβ) in Alzheimeri's Disease Brain 1995 · 553 citations
5531995202620052015100200300400500

Peers

Kristin E. Long
Comparison fields: 5 of 75
  • Developmental Neuroscience 101
  • Physiology 537
  • Cell Biology 276
  • Cellular and Molecular Neuroscience 259
  • Immunology and Allergy 55
Replace Valérie Petegnief with:
Valérie Petegnief Spain
Michelle A. Utton United Kingdom
Yongjun Gu Canada
Midori OGAWARA Japan
Lisa D. Orecchio United States
Jan Six Belgium
Timothy M.E. Scales United Kingdom
Lujia Zhou Belgium
Marc Vandermeeren Belgium
Steven J. Banner United Kingdom
Kristin E. Long relative to Valérie Petegnief Spain Valérie Petegnief's profile →
Citations per field
00.5×2.9×
Valérie Petegnief · 1×
Citations per year

Countries citing papers authored by Kristin E. Long

Since Specialization
Citations

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

Fields of papers citing papers by Kristin E. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristin E. Long. 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 Kristin E. Long. The network helps show where Kristin E. Long may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 20251
2 200148
3 200028
4 1998155
5
The neural cell adhesion molecule L1 interacts with the AP-2 adaptor and is endocytosed via the clathrin-mediated pathway.
1998163
6
Amyloid β Protein (Aβ) in Alzheimeri's Disease Brain
Hit paper breakdown →
1995553
7 199333
8 199242

About Kristin E. Long

Kristin E. Long is a scholar working on Cell Biology, Developmental Neuroscience, Immunology and Allergy, Cellular and Molecular Neuroscience and Biochemistry, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (3 papers), Cellular transport and secretion (3 papers), Cellular Mechanics and Interactions (3 papers), Signaling Pathways in Disease (1 paper), Ubiquitin and proteasome pathways (1 paper), Alzheimer's disease research and treatments (1 paper), Erythrocyte Function and Pathophysiology (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Developmental Neuroscience (101 citations), Physiology (537 citations), Cell Biology (276 citations), Cellular and Molecular Neuroscience (259 citations) and Immunology and Allergy (55 citations). Kristin E. Long has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Vance Lemmon, Nobuhiro Suzuki, Steven G. Younkin, Stephen A. Gravina, Christopher B. Eckman, Linda H. Younkin, László Ötvös, Hiroyuki Kamiguchi, Andrew W. Schaefer and Iris Rapoport. Their work appears in journals such as Journal of Biological Chemistry, Transfusion, The FASEB Journal, Journal of Neuroscience and Journal of Neurobiology.

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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