Ankit Bhatta

1.2k total citations · 2 hit papers
9 papers, 1.0k citations indexed

About

Ankit Bhatta is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ankit Bhatta has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Ankit Bhatta's work include CRISPR and Genetic Engineering (3 papers), Cancer-related molecular mechanisms research (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Ankit Bhatta is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Cancer-related molecular mechanisms research (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Ankit Bhatta collaborates with scholars based in United States, Norway and Belarus. Ankit Bhatta's co-authors include Charles M. Rice, Amir Shlomai, Robert E. Schwartz, Sangeeta N. Bhatia, Vyas Ramanan, Ype P. de Jong, Katherine A. Fitzgerald, Juliana Blin, Maninjay Atianand and Eleftherios Michailidis and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ankit Bhatta

8 papers receiving 996 citations

Hit Papers

CRISPR/Cas9 cleavage of viral DNA efficiently suppresses ... 2014 2026 2018 2022 2015 2014 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ankit Bhatta United States 7 596 333 320 238 160 9 1.0k
Dianxing Sun China 17 399 0.7× 156 0.5× 448 1.4× 337 1.4× 233 1.5× 45 1.1k
Dorjbal Dorjsuren United States 20 797 1.3× 113 0.3× 311 1.0× 128 0.5× 64 0.4× 30 1.1k
Marcello Merola Italy 19 298 0.5× 85 0.3× 271 0.8× 132 0.6× 218 1.4× 44 812
Joana Loureiro Portugal 11 276 0.5× 79 0.2× 233 0.7× 71 0.3× 147 0.9× 13 593
Cheng-Fu Kuo United States 8 255 0.4× 63 0.2× 584 1.8× 265 1.1× 246 1.5× 10 1.0k
John P. Bilello United States 16 434 0.7× 308 0.9× 267 0.8× 67 0.3× 110 0.7× 36 1.1k
William R. Addison Canada 14 379 0.6× 40 0.1× 626 2.0× 646 2.7× 203 1.3× 24 1.3k
Xuezhi Cao China 11 311 0.5× 58 0.2× 175 0.5× 122 0.5× 676 4.2× 16 929
Gregor Ebert Australia 14 272 0.5× 29 0.1× 319 1.0× 199 0.8× 186 1.2× 25 724
Hongping Luo China 10 298 0.5× 154 0.5× 115 0.4× 75 0.3× 29 0.2× 23 559

Countries citing papers authored by Ankit Bhatta

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Bhatta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Bhatta

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

All Works

9 of 9 papers shown
1.
Subbannayya, Yashwanth, Ankit Bhatta, Sneha M. Pinto, Katherine A. Fitzgerald, & Richard K. Kandasamy. (2022). Proteogenomics Analysis Reveals Novel Micropeptides in Primary Human Immune Cells. SHILAP Revista de lepidopterología. 2(2). 283–292. 3 indexed citations
2.
Bhatta, Ankit, Maninjay Atianand, Zhaozhao Jiang, et al.. (2019). A Mitochondrial Micropeptide Is Required for Activation of the Nlrp3 Inflammasome. The Journal of Immunology. 204(2). 428–437. 68 indexed citations
3.
Atianand, Maninjay, Wenqian Hu, Ansuman T. Satpathy, et al.. (2016). A Long Noncoding RNA lincRNA-EPS Acts as a Transcriptional Brake to Restrain Inflammation. Cell. 165(7). 1672–1685. 364 indexed citations
4.
Billerbeck, Eva, Michiel C. Mommersteeg, Amir Shlomai, et al.. (2016). Humanized mice efficiently engrafted with fetal hepatoblasts and syngeneic immune cells develop human monocytes and NK cells. Journal of Hepatology. 65(2). 334–343. 65 indexed citations
5.
Shlomai, Amir, Eleftherios Michailidis, Ankit Bhatta, et al.. (2015). CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus. Nature. 7 indexed citations
6.
Ramanan, Vyas, Amir Shlomai, David Cox, et al.. (2015). CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus. Scientific Reports. 5(1). 10833–10833. 244 indexed citations breakdown →
7.
Ramanan, Vyas, David Cox, Robert E. Schwartz, et al.. (2015). P0545 : Targeting viral DNA with CRISPR/Cas9 robustly suppresses hepatitis B virus. Journal of Hepatology. 62. S519–S519.
8.
Shlomai, Amir, Robert E. Schwartz, Vyas Ramanan, et al.. (2014). Modeling host interactions with hepatitis B virus using primary and induced pluripotent stem cell-derived hepatocellular systems. Proceedings of the National Academy of Sciences. 111(33). 12193–12198. 196 indexed citations breakdown →
9.
Bhatta, Ankit, et al.. (2012). Determination of the drug–DNA binding modes using fluorescence-based assays. Analytical Biochemistry. 422(2). 66–73. 62 indexed citations

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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