Balaji M. Rao

2.9k total citations · 1 hit paper
56 papers, 2.3k citations indexed

About

Balaji M. Rao is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Balaji M. Rao has authored 56 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 21 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in Balaji M. Rao's work include Monoclonal and Polyclonal Antibodies Research (21 papers), Pluripotent Stem Cells Research (9 papers) and Transgenic Plants and Applications (6 papers). Balaji M. Rao is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (21 papers), Pluripotent Stem Cells Research (9 papers) and Transgenic Plants and Applications (6 papers). Balaji M. Rao collaborates with scholars based in United States, India and Canada. Balaji M. Rao's co-authors include Peter W. Zandstra, Raheem Peerani, Nimish Gera, Mahmud M. Hussain, Payman Samavarchi‐Tehrani, Xaralabos Varelas, Joanna Dembowy, Michael B. Yaffe, Rui Sakuma and Jeffrey L. Wrana and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Balaji M. Rao

54 papers receiving 2.2k citations

Hit Papers

TAZ controls Smad nucleocytoplasmic shuttling and regulat... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Balaji M. Rao United States 24 1.4k 577 421 419 216 56 2.3k
Florian Rechenmacher Germany 23 1.4k 1.0× 366 0.6× 385 0.9× 430 1.0× 432 2.0× 33 2.6k
José Courty France 30 1.3k 0.9× 569 1.0× 123 0.3× 357 0.9× 412 1.9× 79 2.4k
Sylvie Roberge United States 18 1.1k 0.8× 192 0.3× 226 0.5× 654 1.6× 578 2.7× 39 2.5k
Janine N. Post Netherlands 21 1.1k 0.8× 170 0.3× 120 0.3× 489 1.2× 148 0.7× 66 2.4k
Anna Moshnikova United States 22 996 0.7× 102 0.2× 138 0.3× 421 1.0× 184 0.9× 45 1.7k
Wenge Liu United States 23 1.1k 0.8× 104 0.2× 265 0.6× 1000 2.4× 274 1.3× 59 3.1k
Daisy W.J. van der Schaft Netherlands 31 1.6k 1.2× 210 0.4× 228 0.5× 695 1.7× 612 2.8× 42 2.8k
Ann‐Marie Broome United States 24 977 0.7× 203 0.4× 98 0.2× 699 1.7× 138 0.6× 44 2.4k
Élisabeth Garanger France 31 1.1k 0.8× 92 0.2× 301 0.7× 777 1.9× 150 0.7× 76 2.8k
Tracy Vargo-Gogola United States 21 995 0.7× 181 0.3× 221 0.5× 400 1.0× 914 4.2× 28 2.1k

Countries citing papers authored by Balaji M. Rao

Since Specialization
Citations

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

Fields of papers citing papers by Balaji M. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Balaji M. Rao. 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 Balaji M. Rao. The network helps show where Balaji M. Rao may publish in the future.

Co-authorship network of co-authors of Balaji M. Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Balaji M. Rao. A scholar is included among the top collaborators of Balaji M. Rao 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 Balaji M. Rao. Balaji M. Rao 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
1.
San‐Miguel, Adriana, et al.. (2025). Derivation of human trophoblast stem cells from placentas at birth. Journal of Biological Chemistry. 301(6). 108505–108505. 2 indexed citations
2.
San‐Miguel, Adriana, et al.. (2024). A quantitative image analysis platform for assessing trophoblast differentiation. Placenta. 166. 117–125. 1 indexed citations
3.
San‐Miguel, Adriana, et al.. (2023). Laminin switches terminal differentiation fate of human trophoblast stem cells under chemically defined culture conditions. Journal of Biological Chemistry. 299(5). 104650–104650. 5 indexed citations
4.
Menegatti, Stefano, et al.. (2021). Quantitative Yeast–Yeast Two Hybrid for the Discovery and Binding Affinity Estimation of Protein–Protein Interactions. ACS Synthetic Biology. 10(3). 505–514. 17 indexed citations
5.
Menegatti, Stefano, et al.. (2021). Screening of Yeast Display Libraries of Enzymatically Treated Peptides to Discover Macrocyclic Peptide Ligands. International Journal of Molecular Sciences. 22(4). 1634–1634. 16 indexed citations
6.
Rao, Balaji M., et al.. (2021). Mapping the residue specificities of epigenome enzymes by yeast surface display. Cell chemical biology. 28(12). 1772–1779.e4. 4 indexed citations
7.
Rao, Balaji M., et al.. (2020). Use of Target-Displaying Magnetized Yeast in Screening mRNA-Display Peptide Libraries to Identify Ligands. ACS Combinatorial Science. 22(12). 738–744. 9 indexed citations
9.
Reeves, Gregory T., et al.. (2020). Discovery of Membrane-Permeating Cyclic Peptides via mRNA Display. Bioconjugate Chemistry. 31(10). 2325–2338. 7 indexed citations
10.
Rao, Balaji M., et al.. (2020). Isolation of Chemically Cyclized Peptide Binders Using Yeast Surface Display. ACS Combinatorial Science. 22(10). 519–532. 18 indexed citations
11.
Rao, Balaji M., et al.. (2020). Past, Present, and Future of Affinity-based Cell Separation Technologies. Acta Biomaterialia. 112. 29–51. 53 indexed citations
12.
Chandra, Anchal, A. S. Jijumon, Satish Bodakuntla, et al.. (2020). Genetically encoded live-cell sensor for tyrosinated microtubules. The Journal of Cell Biology. 219(10). 17 indexed citations
13.
Ko, Yeongun, et al.. (2018). Kinetic Study of Degrafting Poly(methyl methacrylate) Brushes from Flat Substrates by Tetrabutylammonium Fluoride. Macromolecules. 51(24). 10237–10245. 14 indexed citations
15.
Gera, Nimish, Mahmud M. Hussain, & Balaji M. Rao. (2012). Protein selection using yeast surface display. Methods. 60(1). 15–26. 105 indexed citations
16.
Menegatti, Stefano, Mahmud M. Hussain, Amith D. Naik, Ruben G. Carbonell, & Balaji M. Rao. (2012). mRNA display selection and solid‐phase synthesis of Fc‐binding cyclic peptide affinity ligands. Biotechnology and Bioengineering. 110(3). 857–870. 69 indexed citations
17.
Gera, Nimish, et al.. (2012). Design of pH Sensitive Binding Proteins from the Hyperthermophilic Sso7d Scaffold. PLoS ONE. 7(11). e48928–e48928. 46 indexed citations
18.
Collier, Timothy S., Prasenjit Sarkar, William L. Franck, et al.. (2010). Direct Comparison of Stable Isotope Labeling by Amino Acids in Cell Culture and Spectral Counting for Quantitative Proteomics. Analytical Chemistry. 82(20). 8696–8702. 63 indexed citations
19.
Sarkar, Prasenjit & Balaji M. Rao. (2009). Molecular Aspects of Cardiac Differentiation in Embryonic Stem Cells. Critical Reviews in Biomedical Engineering. 37(4-5). 283–320. 5 indexed citations
20.
Varelas, Xaralabos, Rui Sakuma, Payman Samavarchi‐Tehrani, et al.. (2008). TAZ controls Smad nucleocytoplasmic shuttling and regulates human embryonic stem-cell self-renewal. Nature Cell Biology. 10(7). 837–848. 548 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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