Kellie J. Archer

8.3k citations
146 papers · 6.0k indexed · 1 hit paper · h-index 35

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Renal Transplantation Outcomes and Treatments

Papers in

Kellie J. Archer

143 papers receiving 5.8k citations

Hit Papers

Empirical characterization of random forest variable importance measures 2007 · 812 citations
8122007202620132019250500750

Peers

Kellie J. Archer
Comparison fields: 5 of 205
  • Hematology 1.4k
  • Transplantation 322
  • Cancer Research 711
  • Genetics 474
  • Hepatology 303
Replace William R. Bell with:
William R. Bell United States
Dong Ki Kim South Korea
Kevin Murray Australia
E. A. Gehan United States
Ulrich Mansmann Germany
Ruth M. Pfeiffer United States
Daniel F. Heitjan United States
Patricia M. Grambsch United States
M. Schemper Austria
David P. Harrington United States
Kellie J. Archer relative to William R. Bell United States William R. Bell's profile →
Citations per field
00.5×
William R. Bell · 1×
Citations per year

Countries citing papers authored by Kellie J. Archer

Since Specialization
Citations

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

Fields of papers citing papers by Kellie J. Archer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kellie J. Archer. 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 Kellie J. Archer. The network helps show where Kellie J. Archer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20237
2 202331
3 202214
4 20217
5 202113
6 20218
7 202115
8 202027
9 201919
10 20168
11 201529
12 201351
13 20129
14 201117
15 20102
16 201050
17 201028
18 201021
19 200929
20
Absence of the wild-type allele predicts poor prognosis in adult de novo acute myeloid leukemia with normal cytogenetics and the internal tandem duplication of FLT3: a cancer and leukemia group B study.
2001470

About Kellie J. Archer

Kellie J. Archer is a scholar working on Transplantation, Hepatology, Hematology, Statistics and Probability and Cancer Research, having authored 146 papers that have together received 6.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (28 papers), Molecular Biology Techniques and Applications (20 papers), Acute Myeloid Leukemia Research (15 papers), Hepatitis C virus research (15 papers), Renal Transplantation Outcomes and Treatments (15 papers), Liver Disease Diagnosis and Treatment (13 papers), Bioinformatics and Genomic Networks (11 papers) and Organ Transplantation Techniques and Outcomes (11 papers). The work is most often cited by research in Hematology (1.4k citations), Transplantation (322 citations), Cancer Research (711 citations), Genetics (474 citations) and Hepatology (303 citations). Kellie J. Archer has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Stanley Lemeshow, Valeria R. Mas, Daniel G. Maluf, Clara D. Bloomfield, Krzysztof Mrózek, Richard A. Larson, Kenneth Yanek, Robert A. Fisher, David W. Hosmer and Susan P. Whitman. Their work appears in journals such as Transplantation, PLoS ONE, Molecular Medicine, Blood and BMC Bioinformatics.

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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