Ryan B. Day

2.0k citations
16 papers · 1.4k indexed · 1 hit paper · h-index 9

Ryan B. Day

16 papers receiving 1.4k citations

Hit Papers

CXCL12 in early mesenchymal progenitors is required for h...1.0k20132026201720212505007501000

Peers

Ryan B. Day
Comparison fields: 5 of 81
  • Hematology 704
  • Genetics 406
  • Immunology 480
  • Oncology 390
  • Cancer Research 113
Replace Bianca Nowlan with:
Bianca Nowlan Australia
Matthew Christopher United States
Mamiko Noda Japan
Nicolas Sévère United States
Ninib Baryawno United States
Karin Gustafsson United States
Osman Yılmaz United States
Catherine E. Forristal Australia
Karissa T. Chabner United States
Jean Hendy Australia
Ryan B. Day relative to Bianca Nowlan Australia Bianca Nowlan's profile →
Citations per field
00.5×1.5×
Bianca Nowlan · 1×
Citations per year

Countries citing papers authored by Ryan B. Day

Since Specialization
Citations

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

Fields of papers citing papers by Ryan B. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan B. Day. 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 Ryan B. Day. The network helps show where Ryan B. Day may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20251
2 20242
3 20242
4 202315
5 20232
6 20231
7 202253
8 202121
9 201551
10 20149
11
CXCL12 in early mesenchymal progenitors is required for haematopoietic stem-cell maintenancebreakdown →
20131026
12 20123
13 201152
14 201170
15 2008124
16
Connective tissue and bone disorders
20003

About Ryan B. Day

Ryan B. Day is a scholar working on Hematology, Immunology, Oncology, Immunology and Allergy and Genetics, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Immunotherapy and Immune Responses (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Sarcoma Diagnosis and Treatment (2 papers), Retinoids in leukemia and cellular processes (2 papers), Immune Response and Inflammation (2 papers), Chemokine receptors and signaling (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (704 citations), Genetics (406 citations), Immunology (480 citations), Oncology (390 citations) and Cancer Research (113 citations). Ryan B. Day has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Daniel C. Link, Takashi Nagasawa, Yen‐Michael S. Hsu, Laura G. Schuettpelz, Adam Greenbaum, Joshua N. Borgerding, Matthew Christopher, Loren S. Michel, Yiyu Dong and Jianbo Wang. Their work appears in journals such as Blood, Molecular Cancer Research, Clinical Cancer Research, Nature Medicine and Molecular Cancer Therapeutics.

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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