J.J. Wasmuth

3.3k citations
10 papers · 202 · h-index 7

Impact in

    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Genomic variations and chromosomal abnormalities
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Peroxisome Proliferator-Activated Receptors 1
    • DNA Repair Mechanisms 1
    • Genomic variations and chromosomal abnormalities 2
    • Genetics and Neurodevelopmental Disorders 1

J.J. Wasmuth

9 papers receiving 200 citations

Peers

J.J. Wasmuth
Comparison fields: 5 of 40
  • Hematology 53
  • Genetics 35
  • Genetics 56
  • Molecular Biology 120
  • Immunology and Allergy 8
Replace Lutz-Peter Berg with:
Lutz-Peter Berg United Kingdom
Alison Millson United States
Bettina Maier Germany
Mariaelena Pistoni Italy
Bin Mao China
Kelly Arndt United States
Nobuyuki Tanimura Japan
Federico Simone United States
Ravinder K. Suniara United Kingdom
Giulia Pianigiani Italy
J.J. Wasmuth relative to Lutz-Peter Berg United Kingdom Lutz-Peter Berg's profile →
Citations per field
00.5×1.5×
Lutz-Peter Berg · 1×
Citations per year

Countries citing papers authored by J.J. Wasmuth

Since Specialization
Citations

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

Fields of papers citing papers by J.J. Wasmuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 199271
2 199439
3 199232
4 199426
5 199211
6
THE GENE FOR FAMILIAL POLYPOSIS MAPS TO THE LONG ARM OF CHROMOSOME-5
198710
7 19916
8
CHROMOSOMAL LOCALIZATION OF MULTIPLE GENES ENCODING CALMODULIN
19915
9 19892
10 20080

About J.J. Wasmuth

J.J. Wasmuth is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Hematology and Genetics, having authored 10 papers that have together received 202 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Genetic Neurodegenerative Diseases (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), DNA Repair Mechanisms (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Hematology (53 citations), Genetics (35 citations), Genetics (56 citations), Molecular Biology (120 citations) and Immunology and Allergy (8 citations). J.J. Wasmuth has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Jeff Fairman, ML Slovak, L Nagarajan, David F. Claxton, Jiří Zavadil, Xinyan Lu, Gregory Dolganov, Michael Lovett, Andrea S. Wilcox and Kari Alitalo. Their work appears in journals such as Genomics, Blood, Nucleic Acids Research, Nature Genetics and Schizophrenia Research.

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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