Ben Tycko

5.3k citations
6 papers · 4.3k indexed · 1 hit paper · h-index 5

Impact in

    • Cancer-related molecular mechanisms research
    • PI3K/AKT/mTOR signaling in cancer
    • Protein Kinase Regulation and GTPase Signaling
    • Ubiquitin and proteasome pathways

Papers in

Ben Tycko

6 papers receiving 4.2k citations

Hit Papers

PTEN , a Putative Protein Tyrosine Phosphatase Gene Mutated in Human Brain, Breast, and Prostate Cancer 1997 · 3.9k citations
3.9k199720262006201610002.0k3.0k

Peers

Ben Tycko
Comparison fields: 5 of 113
  • Cancer Research 792
  • Molecular Biology 3.3k
  • Genetics 471
  • Oncology 834
  • Pathology and Forensic Medicine 539
Replace Ralf Lesche with:
Ralf Lesche Germany
Mariona Graupera Spain
Andrea Morrione United States
Cory M. Johannessen United States
Gary G. Chiang United States
Antonio Bilancio Italy
Anne‐Marie Gerdes Denmark
Masuko Katoh Japan
Michael Zimmer United States
Rakesh Nagarajan United States
Ben Tycko relative to Ralf Lesche Germany Ralf Lesche's profile →
Citations per field
00.5×1.6×
Ralf Lesche · 1×
Citations per year

Countries citing papers authored by Ben Tycko

Since Specialization
Citations

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

Fields of papers citing papers by Ben Tycko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201847
2 200290
3 1997107
4
Apolipoprotein E epsilon4 and incidence of Alzheimer disease in a community population of older persons.
1997139
5
PTEN , a Putative Protein Tyrosine Phosphatase Gene Mutated in Human Brain, Breast, and Prostate Cancer
Hit paper breakdown →
19973896
6 19941

About Ben Tycko

Ben Tycko is a scholar working on Immunology and Allergy, Physiology, Rheumatology, Psychiatry and Mental health and Obstetrics and Gynecology, having authored 6 papers that have together received 4.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Dementia and Cognitive Impairment Research (2 papers), Pregnancy and preeclampsia studies (1 paper), Glycogen Storage Diseases and Myoclonus (1 paper), Genetic Syndromes and Imprinting (1 paper), Protein Tyrosine Phosphatases (1 paper), Cell Adhesion Molecules Research (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Cancer Research (792 citations), Molecular Biology (3.3k citations), Genetics (471 citations), Oncology (834 citations) and Pathology and Forensic Medicine (539 citations). Ben Tycko has collaborated with scholars based in United States. Frequent co-authors include Linda Rodgers, Michael Ittmann, Danny Liaw, Sandra H. Bigner, W. Richard McCombie, Michael Wigler, Jing Li, Steven I. Wang, Shikha Bose and Ramon Parsons. Their work appears in journals such as Annals of Neurology, Neurology, PLoS Genetics, Science and PubMed.

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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