Joshua Gould
- Molecular Biology top 2%
- Oncology top 2%
- Cancer Research top 2%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Jill P. MesirovPablo TamayoAravind SubramanianKathleen KuehnTodd R. GolubTeppei MorikawaKevin SheeShuji Ogino
- Topics
- Gene expression and cancer classification (5 papers)Bioinformatics and Genomic Networks (4 papers)Single-cell and spatial transcriptomics (3 papers)
- Cited by
- Cancer ResearchOncologyBiophysics
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Joshua Gould
16 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 2.7k
- Oncology 1.2k
- Cancer Research 810
- Immunology 601
- Pulmonary and Respiratory Medicine 468
Countries citing papers authored by Joshua Gould
This map shows the geographic impact of Joshua Gould'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 Joshua Gould with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Gould more than expected).
Fields of papers citing papers by Joshua Gould
This network shows the impact of papers produced by Joshua Gould. 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 Joshua Gould. The network helps show where Joshua Gould may publish in the future.
Co-authorship network of co-authors of Joshua Gould
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Gould. A scholar is included among the top collaborators of Joshua Gould 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 Joshua Gould. Joshua Gould is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 62 | |
| 3 | 84 | |
| 4 | High-definition spatial transcriptomics for in situ tissue profilingbreakdown → | 705 |
| 5 | Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogrammingbreakdown → | 409 |
| 6 | 1 | |
| 7 | 35 | |
| 8 | 5 | |
| 9 | 102 | |
| 10 | 158 | |
| 11 | Tumour micro-environment elicits innate resistance to RAF inhibitors through HGF secretionbreakdown → | 1378 |
| 12 | 0 | |
| 13 | GSEA-P: a desktop application for Gene Set Enrichment Analysisbreakdown → | 1013 |
| 14 | 96 | |
| 15 | 20 | |
| 16 | 7 | |
| 17 | 12 |
About Joshua Gould
Joshua Gould is a scholar working on Biophysics, Hematology and Hepatology, having authored 17 papers that have together received 4.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Cancer Research (810 citations), Oncology (1.2k citations) and Biophysics (243 citations). Joshua Gould has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Jill P. Mesirov, Pablo Tamayo, Aravind Subramanian, Kathleen Kuehn, Todd R. Golub, Teppei Morikawa, Kevin Shee, Shuji Ogino, Dennie T. Frederick and Zhi Rong Qian. Their work appears in journals such as Nature, Cell and Blood.
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.