Katie McCarthy

1.5k citations
33 papers · 573 indexed · h-index 12

Impact in

Papers in

Katie McCarthy

28 papers receiving 562 citations

Peers

Katie McCarthy
Comparison fields: 5 of 87
  • Otorhinolaryngology 90
  • Virology 49
  • Genetics 66
  • Infectious Diseases 100
  • Biochemistry 30
Replace Binod K. Khaitan with:
Binod K. Khaitan India
J Ellegaard Denmark
Jerzy Jarząb Poland
Zibin Liang China
Charles P. Dzamalala Malawi
Greg Kricorian United States
Noah D. Peyser United States
Malathi Munisamy India
Miquel Ribera Spain
Katie McCarthy relative to Binod K. Khaitan India Binod K. Khaitan's profile →
Citations per field
00.5×10×15×18×
Binod K. Khaitan · 1×
Citations per year

Countries citing papers authored by Katie McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Katie McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20241
5 20221
6 20207
7 201725
8 201754
9 201483
10 201347
11 201242
12 20119
13 201060
14 20092
15
Poor response to initial reduction therapy (COP) and combined bone marrow and CNS disease are poor prognostic factors in children with advanced (BM +/- CNS) B-NHL treated on the international study FAB/LMB96.
20031
16 19972
17 199610
18 199382
19 198841
20
Phase II trial of tiazofurin in recurrent squamous cell carcinoma of the head and neck.
19873

About Katie McCarthy

Katie McCarthy is a scholar working on General Psychology, Infectious Diseases, Emergency Medicine, Virology and Speech and Hearing, having authored 33 papers that have together received 573 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (9 papers), HIV-related health complications and treatments (5 papers), Lung Cancer Treatments and Mutations (4 papers), Glioma Diagnosis and Treatment (3 papers), Brain Metastases and Treatment (3 papers), HIV/AIDS drug development and treatment (3 papers), Metabolism and Genetic Disorders (2 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). The work is most often cited by research in Otorhinolaryngology (90 citations), Virology (49 citations), Genetics (66 citations), Infectious Diseases (100 citations) and Biochemistry (30 citations). Katie McCarthy has collaborated with scholars based in United States, South Africa and Uganda. Frequent co-authors include Jeffrey J. Raizer, Sean Grimm, Kenji Muro, Irene Helenowski, Isaiah W. Dimery, James P. Chandler, Waun Ki Hong, Alfred Rademaker, Ella Haddad and Piwen Wang. Their work appears in journals such as Clinical Infectious Diseases, Journal of Neuro-Oncology, Journal of Clinical Oncology, JAIDS Journal of Acquired Immune Deficiency Syndromes and Clinical Trials.

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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