Tycel Phillips

4.3k citations
153 papers · 1.7k · h-index 24

Impact in

Papers in

Tycel Phillips

144 papers receiving 1.7k citations

Peers

Tycel Phillips
Comparison fields: 5 of 69
  • Pathology and Forensic Medicine 911
  • Genetics 505
  • Oncology 835
  • Hematology 259
  • Immunology 307
Replace Javier Muñoz with:
Javier Muñoz United States
Timothy S. Fenske United States
P. M. Kluin Netherlands
Pau Abrisqueta Spain
Paolo F. Caimi United States
Christian H. Geisler Denmark
Charles Herbaux France
Hyeon‐Seok Eom South Korea
Carla Casulo United States
Martin Wilhelm Germany
Tycel Phillips relative to Javier Muñoz United States Javier Muñoz's profile →
Citations per field
00.5×1.5×2.0×
Javier Muñoz · 1×
Citations per year

Countries citing papers authored by Tycel Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Tycel Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019193
2 201984
3 202165
4 201859
5 201949
6 201843
7 201739
8 202037
9 201937
10 202232
11 201929
12 202229
13 202228
14 202428
15 201627
16 202327
17 201927
18 202025
19 201724
20 201924

About Tycel Phillips

Tycel Phillips is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Molecular Biology and Dermatology, having authored 153 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (125 papers), Chronic Lymphocytic Leukemia Research (83 papers), CAR-T cell therapy research (38 papers), Viral-associated cancers and disorders (18 papers), Cutaneous lymphoproliferative disorders research (17 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), CNS Lymphoma Diagnosis and Treatment (9 papers) and Chronic Myeloid Leukemia Treatments (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (911 citations), Genetics (505 citations), Oncology (835 citations), Hematology (259 citations) and Immunology (307 citations). Tycel Phillips has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Ryan A. Wilcox, Sumana Devata, Mark Kaminski, Moshe Talpaz, Philip S. Boonstra, Paul M. Barr, Scott D. Gitlin, Suman L. Sood, Javier Muñoz and Erica Campagnaro. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, Hematological Oncology and HemaSphere.

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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