Ankit Jambusaria

546 total citations
6 papers, 356 citations indexed

About

Ankit Jambusaria is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Ankit Jambusaria has authored 6 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Immunology. Recurrent topics in Ankit Jambusaria's work include Congenital heart defects research (3 papers), RNA modifications and cancer (1 paper) and Pluripotent Stem Cells Research (1 paper). Ankit Jambusaria is often cited by papers focused on Congenital heart defects research (3 papers), RNA modifications and cancer (1 paper) and Pluripotent Stem Cells Research (1 paper). Ankit Jambusaria collaborates with scholars based in United States. Ankit Jambusaria's co-authors include Jalees Rehman, Péter T. Tóth, Asrar B. Malik, Lianghui Zhang, Zhigang Hong, Shubhi Srivastava, Arundhati Jana, Yang Dai, Glenn Marsboom and Menglin Liu and has published in prestigious journals such as Circulation, Nature Communications and Cancer Research.

In The Last Decade

Ankit Jambusaria

6 papers receiving 356 citations

Peers

Ankit Jambusaria
Comparison fields: 5 of 68
  • Molecular Biology 192
  • Immunology 74
  • Pulmonary and Respiratory Medicine 61
  • Cancer Research 57
  • Physiology 40
Replace Nanyan Wu with:
Nanyan Wu United States
Aaron Babendreyer Germany
Nishani S. Mabotuwana Australia
Mabruka Alfaidi United States
Nicolas Villa-Roel United States
Verena Küppers Germany
Ruoyu Xing Netherlands
Elizabeth J. Haining United Kingdom
Julie Yi-Shuan Li United States
Nanyan Wu United States View profile →
Citations per field, relative to Ankit Jambusaria
Ankit Jambusaria · 1×
Citations per year, relative to Ankit Jambusaria
Ankit Jambusaria · 1×

Countries citing papers authored by Ankit Jambusaria

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Jambusaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Jambusaria

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 21
2 5
3 203
4 88
5 11
6 28

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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