Jack Sublett

27 papers receiving 2.4k citations

Peers

Jack Sublett
Comparison fields: 5 of 106
  • Microbiology 460
  • Pulmonary and Respiratory Medicine 659
  • Epidemiology 696
  • Molecular Medicine 82
  • Molecular Biology 1.1k
Replace Luis Marrero with:
Luis Marrero United States
Naoki Hijiya Japan
Patrick Schaerli Switzerland
Jesús Merino Spain
Hilmar Berger Germany
Michael Kaleko United States
Zhaohui Xu United States
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J. Engelbert Gessner Germany
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Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by Jack Sublett

Since Specialization
Citations

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

Fields of papers citing papers by Jack Sublett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A variant Ewing's sarcoma translocation (7;22) fuses the EWS gene to the ETS gene ETV1.
1995370
2
Fusion of PAX3 to a member of the forkhead family of transcription factors in human alveolar rhabdomyosarcoma.
1993316
3 2002244
4 2004190
5 2006136
6
Extensive genomic abnormalities in childhood medulloblastoma by comparative genomic hybridization.
1997135
7
Detection of N-myc gene amplification by fluorescence in situ hybridization. Diagnostic utility for neuroblastoma.
1993135
8 1986103
9 199990
10 200874
11 199973
12 200464
13 200264
14
The alveolar rhabdomyosarcoma PAX3/FKHR fusion protein is a transcriptional activator.
199564
15 200562
16 200657
17 200551
18 200845
19 200036
20 200435

About Jack Sublett

Jack Sublett is a scholar working on Epidemiology, Molecular Biology, Microbiology, Genetics and Infectious Diseases, having authored 27 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (11 papers), Bacterial Infections and Vaccines (8 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Neuroblastoma Research and Treatments (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Microbiology (460 citations), Pulmonary and Respiratory Medicine (659 citations), Epidemiology (696 citations), Molecular Medicine (82 citations) and Molecular Biology (1.1k citations). Jack Sublett has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Elaine Tuomanen, David N. Shapiro, Martine F. Roussel, Deepak Kaushal, David N. Shapiro, James R. Downing, Clayton W. Naeve, Bo Li, Carlos J. Orihuela and Geli Gao. Their work appears in journals such as Infection and Immunity, Molecular and Cellular Biology, Journal of Bacteriology, The Journal of Infectious Diseases and Journal of Clinical Investigation.

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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