John Ryder

3.7k citations
64 papers · 3.0k · h-index 29

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

John Ryder

63 papers receiving 2.9k citations

Peers

John Ryder
Comparison fields: 5 of 103
  • Neurology 500
  • Hematology 355
  • Physiology 711
  • Neurology 216
  • Cellular and Molecular Neuroscience 452
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Jill K. Fisher United States
Michela Palmieri United States
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Pilar Martínez‐Martínez Netherlands
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Hyangshuk Rhim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by John Ryder

Since Specialization
Citations

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

Fields of papers citing papers by John Ryder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003273
2 2004265
3 2020222
4 2000140
5 1998132
6 2014129
7 2009127
8 2003113
9 1986107
10 200393
11 198684
12 200381
13 200476
14 199768
15 201862
16 199758
17 200756
18 198949
19 201045
20
Pim-1 protein kinase is nuclear in Burkitt's lymphoma: nuclear localization is necessary for its biologic effects.
200342

About John Ryder

John Ryder is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Hematology, Genetics and Oncology, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (8 papers), Alzheimer's disease research and treatments (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Viral-associated cancers and disorders (5 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Neurology (500 citations), Hematology (355 citations), Physiology (711 citations), Neurology (216 citations) and Cellular and Molecular Neuroscience (452 citations). John Ryder has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Binhui Ni, Su Yuan, Yan Zhou, Terry A. Vik, Baolin Li, Feng Liu, Bette K. Kleinschmidt‐DeMasters, Xin Wu, Ted S. Keller and Patricia A. Gonzalez‐DeWhitt. Their work appears in journals such as American Journal of Clinical Pathology, Blood, International Journal of Hematology, Leukemia Research and Biochemical and Biophysical Research Communications.

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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