Jack Sublett

28 papers receiving 2.6k citations

Peers

Jack Sublett
Comparison fields: 5 of 108
  • Microbiology 421
  • Epidemiology 680
  • Pulmonary and Respiratory Medicine 636
  • Molecular Biology 1.2k
  • Molecular Medicine 79
Replace Paul P. Eijk with:
Paul P. Eijk Netherlands
Luis Marrero United States
Hilmar Berger Germany
Valerie Lindgren United States
Naoki Hijiya Japan
J. Engelbert Gessner Germany
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Zhaohui Xu United States
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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 28 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.
1995371
2
Fusion of PAX3 to a member of the forkhead family of transcription factors in human alveolar rhabdomyosarcoma.
1993317
3 2002245
4 2004192
5 1999185
6 2006136
7
Extensive genomic abnormalities in childhood medulloblastoma by comparative genomic hybridization.
1997135
8
Detection of N-myc gene amplification by fluorescence in situ hybridization. Diagnostic utility for neuroblastoma.
1993135
9 1986104
10 199990
11 200875
12 199973
13 200464
14 200264
15
The alveolar rhabdomyosarcoma PAX3/FKHR fusion protein is a transcriptional activator.
199564
16 200563
17 200657
18 200551
19 200845
20 200036

About Jack Sublett

Jack Sublett is a scholar working on Epidemiology, Molecular Biology, Microbiology, Genetics and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (11 papers), Bacterial Infections and Vaccines (7 papers), Sarcoma Diagnosis and Treatment (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Streptococcal Infections and Treatments (2 papers), Animal Genetics and Reproduction (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Microbiology (421 citations), Epidemiology (680 citations), Pulmonary and Respiratory Medicine (636 citations), Molecular Biology (1.2k citations) and Molecular Medicine (79 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, Andrew D. Hollenbach, David N. Shapiro, Clayton W. Naeve, James R. Downing, Bo Li and Carlos J. Orihuela. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Molecular and Cellular Biology, Genomics and Genes Chromosomes and Cancer.

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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