David A. Ruddy

12.9k citations
33 papers · 2.6k indexed · 2 hit papers · h-index 19

Impact in

  • Hematology top 2%
    • Iron Metabolism and Disorders
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

David A. Ruddy

30 papers receiving 2.6k citations

Hit Papers

An F876L Mutation in Androgen Receptor Confers Genetic and Phenotypic Resistance to MDV3100 (Enzalutamide) 2013 · 425 citations
4252002202620102018200400600

Peers

David A. Ruddy
Comparison fields: 5 of 101
  • Hematology 449
  • Genetics 344
  • Aging 46
  • Nutrition and Dietetics 375
  • Physiology 517
Replace Lucilla Luzi with:
Lucilla Luzi Italy
Jocelyne Enouf France
Jingxiang Huang Singapore
Ari Elson Israel
Karsten Spicher Germany
Gretchen Bain United States
Guofu Fang United States
Cheng‐Kui Qu United States
Vera P. Krymskaya United States
Jonathan R. Whitfield United Kingdom
David A. Ruddy relative to Lucilla Luzi Italy Lucilla Luzi's profile →
Citations per field
00.5×5.4×
Lucilla Luzi · 1×
Citations per year

Countries citing papers authored by David A. Ruddy

Since Specialization
Citations

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

Fields of papers citing papers by David A. Ruddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Ruddy. 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 David A. Ruddy. The network helps show where David A. Ruddy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20240
3 20231
4 20213
5 202143
6 202118
7 202014
8 20192
9 201849
10 2018221
11 201557
12 201585
13 201543
14 201560
15 2015107
16
An F876L Mutation in Androgen Receptor Confers Genetic and Phenotypic Resistance to MDV3100 (Enzalutamide)
Hit paper breakdown →
2013425
17 201199
18 200641
19
aph-1 and pen-2 Are Required for Notch Pathway Signaling, γ-Secretase Cleavage of βAPP, and Presenilin Protein Accumulation
Hit paper breakdown →
2002655
20 199771

About David A. Ruddy

David A. Ruddy is a scholar working on Transplantation, Hematology, Oncology, Molecular Biology and Computational Theory and Mathematics, having authored 33 papers that have together received 2.6k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), CRISPR and Genetic Engineering (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), CAR-T cell therapy research (4 papers), Protein Degradation and Inhibitors (3 papers), RNA modifications and cancer (3 papers), Cancer-related gene regulation (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Hematology (449 citations), Genetics (344 citations), Aging (46 citations), Nutrition and Dietetics (375 citations) and Physiology (517 citations). David A. Ruddy has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Daniel P. Rakiec, Joshua M. Korn, Michael C. Ellis, John E. Monahan, Frank Stegmeier, Annette L. Parks, Daniel Curtis, William R. Sellers, Wei Xu and Richard L. Myers. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Molecular Cancer Research, Genome Research and Cancer Discovery.

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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