Ritika Kundra

74.2k total citations
22 papers, 539 citations indexed

About

Ritika Kundra is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ritika Kundra has authored 22 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 10 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ritika Kundra's work include Cancer Genomics and Diagnostics (11 papers), Colorectal Cancer Treatments and Studies (6 papers) and Genetic factors in colorectal cancer (6 papers). Ritika Kundra is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Colorectal Cancer Treatments and Studies (6 papers) and Genetic factors in colorectal cancer (6 papers). Ritika Kundra collaborates with scholars based in United States, Netherlands and Italy. Ritika Kundra's co-authors include Nikolaus Schultz, Tom W. Muir, Jianjiong Gao, C. David Allis, Lijuan Feng, Alexey A. Soshnev, John D. Bagert, Benjamin A. Nacev, Jaclyn F. Hechtman and Maurizio Scaltriti and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Ritika Kundra

21 papers receiving 534 citations

Peers

Ritika Kundra
Comparison fields: 5 of 54
  • Molecular Biology 289
  • Oncology 182
  • Pulmonary and Respiratory Medicine 147
  • Cancer Research 98
  • Surgery 96
Replace Matthew R. Strickland with:
Matthew R. Strickland United States
Kazuaki Yokomizo Japan
Maria Cardenas United States
Alexander G. Raufi United States
Mariëlle I. Gallegos-Ruiz Netherlands
Hiroyuki Maeta Japan
Annett Markwarth Germany
Changyi Quan China
Matteo Repetto Italy
Yasuhiro Oshimo Japan
Matthew R. Strickland United States View profile →
Citations per field, relative to Ritika Kundra
Ritika Kundra · 1×
Citations per year, relative to Ritika Kundra
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Countries citing papers authored by Ritika Kundra

Since Specialization
Citations

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

Fields of papers citing papers by Ritika Kundra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritika Kundra

This figure shows the co-authorship network connecting the top 25 collaborators of Ritika Kundra. A scholar is included among the top collaborators of Ritika Kundra 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 Ritika Kundra. Ritika Kundra 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
# Work Indexed citations
1 1
2 3
3 1
4 2
5 2
6 30
7 1
8 6
9 1
10 0
11 75
12 115
13 257
14 18
15 2
16 1
17 7
18 1
19 3
20 5

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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