Gerald Gooden

1.7k citations
24 papers · 1.3k · h-index 13

Impact in

    • Cancer Genomics and Diagnostics
    • Gene expression and cancer classification
    • Molecular Biology Techniques and Applications
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation

Papers in

    • Epigenetics and DNA Methylation 7
    • Genomics and Chromatin Dynamics 5
    • RNA modifications and cancer 4
    • Gene expression and cancer classification 3
    • Cancer Genomics and Diagnostics 4
    • MicroRNA in disease regulation 2

Gerald Gooden

23 papers receiving 1.3k citations

Peers

Gerald Gooden
Comparison fields: 5 of 89
  • Cancer Research 323
  • Molecular Biology 921
  • Oncology 222
  • Genetics 192
  • Immunology 140
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Citations per field
00.5×2.9×
Sanjay Chandriani · 1×
Citations per year

Countries citing papers authored by Gerald Gooden

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Gooden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gene expression profiling of alveolar rhabdomyosarcoma with cDNA microarrays.
1998363
2 1999266
3
Comparative genomic hybridization analysis of 38 breast cancer cell lines: a basis for interpreting complementary DNA microarray data.
2000228
4 200191
5 201558
6 199950
7 201748
8 200931
9 201629
10 201227
11 201221
12 202017
13 202313
14 201910
15 20039
16 20209
17 19998
18 19997
19 20224
20 19993

About Gerald Gooden

Gerald Gooden is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (5 papers), Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (4 papers), Gene expression and cancer classification (3 papers), Genomic variations and chromosomal abnormalities (3 papers), MicroRNA in disease regulation (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cancer Research (323 citations), Molecular Biology (921 citations), Oncology (222 citations), Genetics (192 citations) and Immunology (140 citations). Gerald Gooden has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Jeffrey M. Trent, Paul S. Meltzer, Michael Bittner, Yuan Jiang, Javed Khan, William J. Pavan, Richard H. Simon, Yidong Chen, Stephen B. Leighton and Thomas J. Pohida. Their work appears in journals such as Nature Genetics, Scientific Reports, Proceedings of the National Academy of Sciences, Oncogene and Cancer Research.

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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