Daniel Slade

512 citations
24 papers · 197 · 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

    • Chronic Myeloid Leukemia Treatments 3
    • Cervical Cancer and HPV Research 2
    • Hepatitis B Virus Studies 1

Daniel Slade

22 papers receiving 184 citations

Peers

Daniel Slade
Comparison fields: 5 of 60
  • Hematology 79
  • Statistics and Probability 30
  • Genetics 31
  • Rheumatology 19
  • Urology 7
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Citations per field
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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

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201953
2 202030
3 202123
4 201914
5 196311
6 202210
7 20209
8 20157
9 19987
10 20196
11 19555
12 20223
13 20213
14 19523
15 20192
16 20242
17
poisson: Simulating Homogenous & Non-Homogenous Poisson Processes
20152
18
How to transform infrastructure decision making in the UK
20182
19 20122
20 20211

About Daniel Slade

Daniel Slade is a scholar working on Hematology, Epidemiology, Public Health, Environmental and Occupational Health, Statistics and Probability and Surgery, having authored 24 papers that have together received 197 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Statistical Methods in Clinical Trials (3 papers), Cervical Cancer and HPV Research (2 papers), Diet and metabolism studies (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Hematology (79 citations), Statistics and Probability (30 citations), Genetics (31 citations), Rheumatology (19 citations) and Urology (7 citations). Daniel Slade has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Kristian Brock, Elizabeth Ryan, Simon Gates, Charles Craddock, Christina Yap, Ram Malladi, Andrea Hodgkinson, Rachel Wheat, Carmela De Santo and Jamie Cavenagh. Their work appears in journals such as Blood, BMJ Open, Journal of Clinical Oncology, BMC Medical Research Methodology and International Journal of Gynecological Cancer.

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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