Dalia Dhingra

553 citations
13 papers · 433 indexed · h-index 5
Topics
Cancer Genomics and Diagnostics (10 papers)Single-cell and spatial transcriptomics (4 papers)Genetics, Bioinformatics, and Biomedical Research (3 papers)

In The Last Decade

Dalia Dhingra

12 papers receiving 421 citations

Peers

Dalia Dhingra
Comparison fields: 5 of 88
  • Biomedical Engineering 208
  • Molecular Biology 205
  • Physical and Theoretical Chemistry 47
  • Atomic and Molecular Physics, and Optics 43
  • Plant Science 43
Replace Jeffrey G. Reifenberger with:
Jeffrey G. Reifenberger United States
Axel Hochstetter United Kingdom
Karolin Frykholm Sweden
Misha Klein Netherlands
Volker Walhorn Germany
Helena C. Zec United States
Jun Komatsu Japan
Akiko Kobayashi Japan
Eric A. Josephs United States
Dalia Dhingra relative to Jeffrey G. Reifenberger United States Jeffrey G. Reifenberger's profile →
Citations per field
00.5×2.7×
Jeffrey G. Reifenberger · 1×
Citations per year

Countries citing papers authored by Dalia Dhingra

Since Specialization
Citations

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

Fields of papers citing papers by Dalia Dhingra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalia Dhingra

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 2
3 13
4 1
5 52
6 0
7 47
8 1
9 2
10 1
11 47
12 1
13 265

About Dalia Dhingra

Dalia Dhingra is a scholar working on Cancer Research, Clinical Biochemistry and Molecular Biology, having authored 13 papers that have together received 433 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Single-cell and spatial transcriptomics (4 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (47 citations), Biomedical Engineering (208 citations) and Structural Biology (5 citations). Dalia Dhingra has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Dan Forrest, Kyubong Jo, Juan Pablo, Rod Runnheim, Michael D. Graham, Theo Odijk, David C. Schwartz, Marc M. Oshiro, Marvin J. Slepian and Lee D. Cranmer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

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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