Sanjeev Balakrishnan

3.1k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Sanjeev Balakrishnan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sanjeev Balakrishnan has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Sanjeev Balakrishnan's work include Cancer Mechanisms and Therapy (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Sanjeev Balakrishnan is often cited by papers focused on Cancer Mechanisms and Therapy (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Sanjeev Balakrishnan collaborates with scholars based in United States, Germany and Taiwan. Sanjeev Balakrishnan's co-authors include Andrei Goga, Alicia Y. Zhou, Henok Eyob, Zena Werb, Paul Yaswen, Kai Kessenbrock, Devon A. Lawson, Karin D. Prummel, Nirav R. Bhakta and Chih‐Yang Wang and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Sanjeev Balakrishnan

9 papers receiving 1.5k citations

Hit Papers

Single-cell analysis reveals a stem-cell program in human... 2015 2026 2018 2022 2015 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Single-cell analysis reveals a stem-cell program in human metastatic breast cancer cells
    2015 690 citations Devon A. Lawson, Nirav R. Bhakta et al. Nature profile →

Peers

Sanjeev Balakrishnan
Henok Eyob United States
Juyoun Jin South Korea
Alejandra Bruna United Kingdom
Hannah Harrison United Kingdom
Salina Yuan United States
Kam Sprott United States
Cheryl A. Sherman‐Baust United States
Nami Sugiyama Switzerland
Toni Celià-Terrassa Spain
Jennifer MacSwords United States
Henok Eyob United States
Sanjeev Balakrishnan
Citations per year, relative to Sanjeev Balakrishnan Sanjeev Balakrishnan (= 1×) peers Henok Eyob

Countries citing papers authored by Sanjeev Balakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Balakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeev Balakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Balakrishnan. A scholar is included among the top collaborators of Sanjeev Balakrishnan 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 Sanjeev Balakrishnan. Sanjeev Balakrishnan 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.
Ζαννίκου, Μαρκέλλα, Deepak Kanojia, Sara F. Dunne, et al.. (2024). S100A8/A9 predicts response to PIM kinase and PD-1/PD-L1 inhibition in triple-negative breast cancer mouse models. SHILAP Revista de lepidopterología. 4(1). 22–22. 2 indexed citations
2.
Rohrberg, Julia, Joyce V. Lee, Alexandra Corella, et al.. (2020). MYC Dysregulates Mitosis, Revealing Cancer Vulnerabilities. Cell Reports. 30(10). 3368–3382.e7. 38 indexed citations
3.
Anderton, Brittany, Roman Camarda, Sanjeev Balakrishnan, et al.. (2017). MYC ‐driven inhibition of the glutamate‐cysteine ligase promotes glutathione depletion in liver cancer. EMBO Reports. 18(4). 569–585. 64 indexed citations
4.
Chen, Baohui, Ricardo Almeida, Harrison Liu, et al.. (2016). Expanding the CRISPR imaging toolset withStaphylococcus aureusCas9 for simultaneous imaging of multiple genomic loci. Nucleic Acids Research. 44(8). e75–e75. 146 indexed citations
5.
Camarda, Roman, Alicia Y. Zhou, Rebecca A. Kohnz, et al.. (2016). Inhibition of fatty acid oxidation as a therapy for MYC-overexpressing triple-negative breast cancer. Nature Medicine. 22(4). 427–432. 396 indexed citations
6.
Horiuchi, Dai, Roman Camarda, Alicia Y. Zhou, et al.. (2016). PIM1 kinase inhibition as a targeted therapy against triple-negative breast tumors with elevated MYC expression. Nature Medicine. 22(11). 1321–1329. 122 indexed citations
7.
Hlawatsch, Marcel, et al.. (2016). An Evaluation of Visual Search Support in Maps. IEEE Transactions on Visualization and Computer Graphics. 23(1). 421–430. 15 indexed citations
8.
Evason, Kimberley, Vladislava Juric, Sanjeev Balakrishnan, et al.. (2015). Identification of Chemical Inhibitors of β-Catenin-Driven Liver Tumorigenesis in Zebrafish. PLoS Genetics. 11(7). e1005305–e1005305. 64 indexed citations
9.
Lawson, Devon A., Nirav R. Bhakta, Kai Kessenbrock, et al.. (2015). Single-cell analysis reveals a stem-cell program in human metastatic breast cancer cells. Nature. 526(7571). 131–135. 690 indexed citations breakdown →

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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