Kellie J. Archer
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Renal Transplantation Outcomes and Treatments 15
- Hepatology 20
- Hepatitis C virus research 15
- Co-authors
- Stanley LemeshowValeria R. MasDaniel G. MalufClara D. BloomfieldKrzysztof MrózekRichard A. LarsonKenneth YanekRobert A. Fisher
- Journals
- Transplantation (10 papers)PLoS ONE (8 papers)Molecular Medicine (7 papers)Blood (6 papers)BMC Bioinformatics (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kellie J. Archer
143 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Hematology 1.4k
- Transplantation 322
- Cancer Research 711
- Genetics 474
- Hepatology 303
Countries citing papers authored by Kellie J. Archer
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 7 | |
| 2 | 2023 | 31 | |
| 3 | 2022 | 14 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 15 | |
| 8 | 2020 | 27 | |
| 9 | 2019 | 19 | |
| 10 | 2016 | 8 | |
| 11 | 2015 | 29 | |
| 12 | 2013 | 51 | |
| 13 | 2012 | 9 | |
| 14 | 2011 | 17 | |
| 15 | 2010 | 2 | |
| 16 | 2010 | 50 | |
| 17 | 2010 | 28 | |
| 18 | 2010 | 21 | |
| 19 | 2009 | 29 | |
| 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. | 2001 | 470 |
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.