Daniel Slade

433 citations
17 papers · 296 · h-index 8

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
    • Statistical Methods in Clinical Trials

Papers in

Daniel Slade

16 papers receiving 289 citations

Peers

Daniel Slade
Comparison fields: 5 of 28
  • Hematology 66
  • Statistics and Probability 43
  • Infectious Diseases 51
  • Oncology 15
  • Genetics 5
Replace Maryanne Gundestrup with:
Maryanne Gundestrup Denmark
Güner Hayri Özsan Türkiye
The Lancet Haematology
Semih Başçı Türkiye
Jean Gabriel Fuzibet France
Janelle Perkins United States
Lauriane Ségaux France
Enrique Granados Spain
Lauren H. Choi United States
D Sońta-Jakimczyk Poland
Daniel Slade relative to Maryanne Gundestrup Denmark Maryanne Gundestrup's profile →
Citations per field
00.5×10×20×26×
Maryanne Gundestrup · 1×
Citations per year

Countries citing papers authored by Daniel Slade

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Slade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201958
2 202149
3
Namilumab or infliximab compared with standard of care in hospitalised patients with COVID-19 (CATALYST): a randomised, multicentre, multi-arm, multistage, open-label, adaptive, phase 2, proof-of-concept trial
202247
4 202035
5 202128
6 201727
7 202211
8 20199
9 20157
10 20207
11 20217
12 20224
13
poisson: Simulating Homogenous & Non-Homogenous Poisson Processes
20153
14 20242
15
Dose Transition Pathways for Continual Reassessment Method [R package dtpcrm version 0.1.1]
20191
16 20251
17 20260

About Daniel Slade

Daniel Slade is a scholar working on Statistics and Probability, Infectious Diseases, Hematology, Genetics and Hepatology, having authored 17 papers that have together received 296 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), COVID-19 Clinical Research Studies (3 papers), Childhood Cancer Survivors' Quality of Life (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Atrial Fibrillation Management and Outcomes (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (66 citations), Statistics and Probability (43 citations), Infectious Diseases (51 citations), Oncology (15 citations) and Genetics (5 citations). Daniel Slade has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Kristian Brock, Elizabeth Ryan, Simon Gates, Christina Yap, Charles Craddock, Shamyla Siddique, Ram K. Malladi, Rachel L. Wheat, Francis Mussai and Carmela De Santo. Their work appears in journals such as BMJ Open, BMC Medical Research Methodology, BJOG An International Journal of Obstetrics & Gynaecology, Journal of Clinical Oncology and Biometrics.

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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