Daniel C. Jones

1.1k citations
21 papers · 717 indexed · h-index 12
Topics
Pluripotent Stem Cells Research (3 papers)Single-cell and spatial transcriptomics (3 papers)Renal and related cancers (3 papers)

In The Last Decade

Daniel C. Jones

20 papers receiving 695 citations

Peers

Daniel C. Jones
Comparison fields: 5 of 86
  • Molecular Biology 466
  • Surgery 128
  • Cancer Research 104
  • Artificial Intelligence 98
  • Physiology 72
Replace Gitanjali Dharmadhikari with:
Gitanjali Dharmadhikari Germany
Xiangqun Zheng-Bradley United Kingdom
Takuya Kuroda Japan
Sharon Qian United States
Ruoyu Zhou China
Qingzhu Wang China
Adam L. MacLean United States
Yiya Yang China
Christina V. Theodoris United States
Dabin Jeong South Korea
Daniel C. Jones relative to Gitanjali Dharmadhikari Germany Gitanjali Dharmadhikari's profile →
Citations per field
00.5×2.6×
Gitanjali Dharmadhikari · 1×
Citations per year

Countries citing papers authored by Daniel C. Jones

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Jones

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Jones. A scholar is included among the top collaborators of Daniel C. Jones 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 C. Jones. Daniel C. Jones 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 7
2 1
3 12
4 4
5 1
6 0
7 92
8 27
9 1
10 46
11 51
12 3
13 24
14 118
15 7
16 6
17 20
18 42
19 22
20 34

About Daniel C. Jones

Daniel C. Jones is a scholar working on Aging, Internal Medicine and Cancer Research, having authored 21 papers that have together received 717 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Single-cell and spatial transcriptomics (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Aging (49 citations), Cancer Research (104 citations) and Molecular Biology (466 citations). Daniel C. Jones has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Walter L. Ruzzo, Xinxia Peng, Michael G. Katze, Murray F. Brennan, Charles E. Murry, Lil Pabon, Hannele Ruohola‐Baker, Marita L. Rodriguez, Wei-Zhong Zhu and Kavitha T. Kuppusamy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

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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