Madhavi Bathina

1.0k total citations
10 papers, 771 citations indexed

About

Madhavi Bathina is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Madhavi Bathina has authored 10 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Genetics. Recurrent topics in Madhavi Bathina's work include Cell death mechanisms and regulation (4 papers), Mitochondrial Function and Pathology (3 papers) and ATP Synthase and ATPases Research (2 papers). Madhavi Bathina is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Mitochondrial Function and Pathology (3 papers) and ATP Synthase and ATPases Research (2 papers). Madhavi Bathina collaborates with scholars based in United States, United Kingdom and Brazil. Madhavi Bathina's co-authors include Joseph T. Opferman, Brian Koss, John D. Schuetz, J.A. Lynch, Daniel P. Stewart, Megan M. Cleland, Richard J. Youle, Jamshid Temirov, Douglas R. Green and S. William Pelletier and has published in prestigious journals such as Genes & Development, Nature Cell Biology and Molecular and Cellular Biology.

In The Last Decade

Madhavi Bathina

10 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhavi Bathina United States 8 597 183 107 102 98 10 771
Ana M. Cosialls Spain 18 601 1.0× 255 1.4× 129 1.2× 99 1.0× 85 0.9× 29 842
Daniel Iglesias‐Serret Spain 20 741 1.2× 306 1.7× 173 1.6× 133 1.3× 125 1.3× 32 1.0k
Stephan Geley Austria 14 634 1.1× 185 1.0× 168 1.6× 119 1.2× 61 0.6× 16 879
Rebecca Gilley United Kingdom 12 564 0.9× 176 1.0× 86 0.8× 94 0.9× 92 0.9× 14 723
Anthony L. Sinn United States 14 373 0.6× 223 1.2× 139 1.3× 123 1.2× 40 0.4× 35 699
Llorenç Coll-Mulet Spain 11 452 0.8× 263 1.4× 90 0.8× 93 0.9× 47 0.5× 12 663
Joshua J. Oaks United States 9 710 1.2× 115 0.6× 90 0.8× 72 0.7× 51 0.5× 19 876
Abdol Hossein Rezaeian United States 11 738 1.2× 266 1.5× 106 1.0× 203 2.0× 105 1.1× 14 993
Konstantinos V. Floros United States 16 707 1.2× 242 1.3× 71 0.7× 214 2.1× 85 0.9× 24 954

Countries citing papers authored by Madhavi Bathina

Since Specialization
Citations

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

Fields of papers citing papers by Madhavi Bathina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhavi Bathina

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

All Works

10 of 10 papers shown
1.
Turnis, Meghan E., Madhavi Bathina, Nathalie Becerra-Mora, et al.. (2024). Genetic ablation ofImmtinduces a lethal disruption of the MICOS complex. Life Science Alliance. 7(6). e202302329–e202302329. 1 indexed citations
2.
Bircsak, Kristin M., Peter D.A. Shepherd, Madhavi Bathina, et al.. (2022). A 3D Perfusable Platform for In Vitro Culture of Patient Derived Xenografts. Advanced Healthcare Materials. 12(14). e2201434–e2201434. 5 indexed citations
3.
Batai, Ken, Amit Arora, Wenndy Hernandez, et al.. (2021). Genetic loci associated with skin pigmentation in African Americans and their effects on vitamin D deficiency. PLoS Genetics. 17(2). e1009319–e1009319. 20 indexed citations
4.
Hooker, Stanley, Madhavi Bathina, Stacy M. Lloyd, et al.. (2019). Genetic Ancestry Analysis Reveals Misclassification of Commonly Used Cancer Cell Lines. Cancer Epidemiology Biomarkers & Prevention. 28(6). 1003–1009. 32 indexed citations
5.
Koss, Brian, Jeremy Ryan, Amit Budhraja, et al.. (2016). Defining specificity and on-target activity of BH3-mimetics using engineered B-ALL cell lines. Oncotarget. 7(10). 11500–11511. 23 indexed citations
6.
Wang, Xi, Madhavi Bathina, J.A. Lynch, et al.. (2013). Deletion of MCL-1 causes lethal cardiac failure and mitochondrial dysfunction. Genes & Development. 27(12). 1351–1364. 189 indexed citations
8.
Stewart, Daniel P., Brian Koss, J.A. Lynch, et al.. (2012). Anti-apoptotic MCL-1 localizes to the mitochondrial matrix and couples mitochondrial fusion to respiration. Nature Cell Biology. 14(6). 575–583. 324 indexed citations
9.
Stewart, Daniel P., et al.. (2010). Ubiquitin-Independent Degradation of Antiapoptotic MCL-1. Molecular and Cellular Biology. 30(12). 3099–3110. 106 indexed citations
10.
Yeruva, Laxmi, et al.. (2008). Delayed Cytotoxic Effects of Methyl Jasmonate and cis-Jasmone Induced Apoptosis in Prostate Cancer Cells. Cancer Investigation. 26(9). 890–899. 19 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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