Daniel Robinson

1.7k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Daniel Robinson is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Daniel Robinson has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Daniel Robinson's work include PI3K/AKT/mTOR signaling in cancer (3 papers), Prostate Cancer Treatment and Research (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). Daniel Robinson is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (3 papers), Prostate Cancer Treatment and Research (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). Daniel Robinson collaborates with scholars based in United States, Taiwan and France. Daniel Robinson's co-authors include Javed Siddiqui, Irfan A. Asangani, John R. Prensner, Xiaojun Jing, Qi Cao, John T. Wei, Xuhong Cao, Xiaoju Wang, Nallasivam Palanisamy and Arul M. Chinnaiyan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Nature Biotechnology.

In The Last Decade

Daniel Robinson

14 papers receiving 1.1k citations

Hit Papers

Transcriptome sequencing across a prostate cancer cohort ... 2011 2026 2016 2021 2011 250 500 750

Peers

Daniel Robinson
Comparison fields: 5 of 86
  • Molecular Biology 889
  • Cancer Research 772
  • Pulmonary and Respiratory Medicine 159
  • Oncology 120
  • Epidemiology 87
Replace Li Zhuang with:
Li Zhuang China
Jordan Anaya United States
Arthur K. Ching Hong Kong
Zhu Mei China
Manuel Beltrán Spain
Yojiro Kotake Japan
Chao Shen China
Jörg H. Leupold Germany
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Citations per field, relative to Daniel Robinson
Daniel Robinson · 1×
Citations per year, relative to Daniel Robinson
Daniel Robinson · 1×

Countries citing papers authored by Daniel Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Robinson. A scholar is included among the top collaborators of Daniel Robinson 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 Robinson. Daniel Robinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 7
2 33
3 2
4
Transcriptome sequencing across a prostate cancer cohort identifies PCAT-1, an unannotated lincRNA implicated in disease progression breakdown →
815
5 0
6 6
7 20
8 1
9 91
10 34
11 51
12 58
13 21
14 2
15 19

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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