Moore Df

1.3k citations
7 papers · 302 · h-index 5

Impact in

Papers in

Moore Df

7 papers receiving 281 citations

Peers

Moore Df
Comparison fields: 5 of 52
  • Hematology 104
  • Statistics and Probability 55
  • Pathology and Forensic Medicine 104
  • Genetics 50
  • Oncology 106
Replace Michelle Purdom with:
Michelle Purdom United States
Jyotirmoy Dey United States
Habib El‐Khoury United States
A Stone United Kingdom
Saverio D’Amico Italy
A.C. Virgili Manrique Spain
Mario Lamping Germany
Isabell Ge Germany
Jeanne Mihura France
Sonja Rauhut Germany
Moore Df relative to Michelle Purdom United States Michelle Purdom's profile →
Citations per field
00.5×5×10×15×18.3×
Michelle Purdom · 1×
Citations per year

Countries citing papers authored by Moore Df

Since Specialization
Citations

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

Fields of papers citing papers by Moore Df

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Moore Df, 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 Moore Df Line = papers co-authored together Moore Df links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1997191
2
Robust estimation of the variance in moment methods for extra-binomial and extra-Poisson variation.
199164
3 200219
4 200714
5
Clinical trials of fluorouracil with alpha-interferon in advanced colorectal carcinomas.
19917
6
Lesions of the salivary glands.
19585
7 20062

About Moore Df

Moore Df is a scholar working on Pathology and Forensic Medicine, Oral Surgery, Oncology, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 7 papers that have together received 302 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (1 paper), Oral and Maxillofacial Pathology (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Statistical Methods and Bayesian Inference (1 paper), Statistical Methods and Inference (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Hematology (104 citations), Statistics and Probability (55 citations), Pathology and Forensic Medicine (104 citations), Genetics (50 citations) and Oncology (106 citations). Moore Df has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Anastasios A. Tsiatis, Rakesh C. Mehra, Karen R. Cleary, Claire Dyer, BS Andersson, RE Champlin, Marcos J. G. De Lima, Koen van Besien, Gabriela Rondón and Donna Przepiorka. Their work appears in journals such as Bone Marrow Transplantation, Acta Paediatrica, Public Health Nutrition, PubMed and Mycological Research.

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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