Danielle N. Yarde

475 citations
11 papers · 386 · h-index 8

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Cytokine Signaling Pathways and Interactions
    • Peptidase Inhibition and Analysis

Papers in

    • Cancer therapeutics and mechanisms 3
    • Multiple Myeloma Research and Treatments 6
    • Chronic Myeloid Leukemia Treatments 1

Danielle N. Yarde

11 papers receiving 381 citations

Peers

Danielle N. Yarde
Comparison fields: 5 of 63
  • Hematology 145
  • Oncology 140
  • Molecular Biology 232
  • Immunology and Allergy 19
  • Cancer Research 47
Replace D Chauhan with:
D Chauhan United States
Rajani Kanth Vangala India
Manjula Santhanakrishnan United States
Nuzhat N. Kabir Sweden
C Mitsiades United States
Véronique Mansat‐De Mas France
François Béliveau Canada
Agnieszka A. Wendorff United States
Jayant K. Rane United Kingdom
Arnaud Gandillet United Kingdom
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Citations per field
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D Chauhan · 1×
Citations per year

Countries citing papers authored by Danielle N. Yarde

Since Specialization
Citations

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

Fields of papers citing papers by Danielle N. Yarde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle N. Yarde. 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 Danielle N. Yarde. The network helps show where Danielle N. Yarde may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2009152
2 200990
3 201544
4 201129
5 201327
6 201217
7 201313
8 201410
9 20112
10 20071
11 20061

About Danielle N. Yarde

Danielle N. Yarde is a scholar working on Molecular Biology, Hematology, Genetics, Cell Biology and Infectious Diseases, having authored 11 papers that have together received 386 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), Cancer therapeutics and mechanisms (3 papers), Virus-based gene therapy research (2 papers), Diabetes and associated disorders (2 papers), interferon and immune responses (1 paper), Pancreatic function and diabetes (1 paper), Diabetes Management and Research (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (145 citations), Oncology (140 citations), Molecular Biology (232 citations), Immunology and Allergy (19 citations) and Cancer Research (47 citations). Danielle N. Yarde has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kenneth H. Shain, Lori Hazlehurst, William S. Dalton, Richard Jove, Mark B. Meads, Mei Huang, Rebecca A. Nace, Stephen J. Russell, Vasco Oliveira and Linda Mathews. Their work appears in journals such as Cancer Research, Blood, British Journal of Haematology, Human Immunology and Molecular & Cellular Proteomics.

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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