Deepa Waghray

2.1k citations
16 papers · 1.5k indexed · 1 hit paper · h-index 11
Topics
Immune Cell Function and Interaction (5 papers)CAR-T cell therapy research (4 papers)T-cell and B-cell Immunology (4 papers)

In The Last Decade

Deepa Waghray

15 papers receiving 1.5k citations

Hit Papers

Structural Basis of Wnt Recognition by Frizzled20122026201620212012200400600

Peers

Deepa Waghray
Comparison fields: 5 of 91
  • Molecular Biology 1.1k
  • Oncology 311
  • Cellular and Molecular Neuroscience 271
  • Immunology 262
  • Genetics 177
Replace Mike Costa with:
Mike Costa United States
Suzanne Fischer United States
Karin Ridderstråle Sweden
Irene Weibrecht Sweden
Samuel Bouyain United States
Sarah Keegan United States
A. V. Belyavsky Russia
Jarno Voortman Netherlands
Laura A. Banaszynski United States
Serge Urbach France
Deepa Waghray relative to Mike Costa United States Mike Costa's profile →
Citations per field
00.5×1.5×
Mike Costa · 1×
Citations per year

Countries citing papers authored by Deepa Waghray

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Waghray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Waghray

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 0
3 4
4 27
5 23
6 21
7 25
8 90
9 44
10 233
11
Molecular architecture of the alpha beta T cell receptor-CD3 complex
3
12 98
13 166
14
Structural Basis of Wnt Recognition by Frizzledbreakdown →
635
15 110
16 9

About Deepa Waghray

Deepa Waghray is a scholar working on Immunology, Oncology and Physiology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (271 citations) and Immunology (262 citations). Deepa Waghray has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include K. Christopher García, Claudia Y. Janda, Aron M. Levin, Christoph Thomas, Abhiram Dukkipati, Kevin M. Jude, John S. Burg, Suzanne Fischer, Hidde L. Ploegh and Jessica R. Ingram. Their work appears in journals such as Nature, Science and Cell.

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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