Daniel J. Gough

4.7k citations
46 papers · 3.5k indexed · 2 hit papers · h-index 26
Topics
Cytokine Signaling Pathways and Interactions (19 papers)interferon and immune responses (8 papers)Epigenetics and DNA Methylation (7 papers)

In The Last Decade

Daniel J. Gough

45 papers receiving 3.4k citations

Hit Papers

Mitochondrial STAT3 Supports Ras-Dependent Oncogenic Tran...200920262014202020092018100200300400500

Peers

Daniel J. Gough
Comparison fields: 5 of 120
  • Molecular Biology 1.6k
  • Oncology 1.4k
  • Immunology 1.2k
  • Cancer Research 611
  • Epidemiology 313
Replace Latifa Bakiri with:
Latifa Bakiri Austria
Tracy L. Putoczki Australia
Manabu Emi Japan
Yoku Hayakawa Japan
Min Huang China
Isabelle Le Mercier United States
Ryuhei Okuyama Japan
Jianfeng Chen China
Gerald M. Feldman United States
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Daniel J. Gough relative to Latifa Bakiri Austria Latifa Bakiri's profile →
Citations per field
00.5×1.7×
Latifa Bakiri · 1×
Citations per year

Countries citing papers authored by Daniel J. Gough

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Gough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Gough. 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 Daniel J. Gough. The network helps show where Daniel J. Gough may publish in the future.

Co-authorship network of co-authors of Daniel J. Gough

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Gough. A scholar is included among the top collaborators of Daniel J. Gough based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Gough. Daniel J. Gough is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 12
3 12
4 14
5 21
6 21
7 101
8 20
9 15
10 28
11
Therapeutically exploiting STAT3 activity in cancer — using tissue repair as a road mapbreakdown →
382
12 35
13 35
14 57
15
The Controversy of Clemency and Innocence in America
2
16 350
17
Mitochondrial STAT3 Supports Ras-Dependent Oncogenic Transformationbreakdown →
580
18 12
19 256
20 56

About Daniel J. Gough

Daniel J. Gough is a scholar working on Oncology, Immunology and Genetics, having authored 46 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (19 papers), interferon and immune responses (8 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (1.4k citations) and Cancer Research (611 citations). Daniel J. Gough has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include David T. Levy, Christopher J. Clarke, Ricky W. Johnstone, Andrew C. Larner, Alicia Corlett, Karni Schlessinger, Joanna Węgrzyn, Jennifer Huynh, Ashwini L. Chand and Matthias Ernst. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

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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