Subu Subramanian

1.1k total citations · 1 hit paper
8 papers, 542 citations indexed

About

Subu Subramanian is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Subu Subramanian has authored 8 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Subu Subramanian's work include RNA and protein synthesis mechanisms (4 papers), CRISPR and Genetic Engineering (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Subu Subramanian is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), CRISPR and Genetic Engineering (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Subu Subramanian collaborates with scholars based in United States, Canada and Finland. Subu Subramanian's co-authors include Ali Madani, Ben Krause, James S. Fraser, Richard Socher, Eric R. Greene, Zachary Z. Sun, James M. Holton, Caiming Xiong, J.L. Olmos and Nikhil Naik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Nature Structural & Molecular Biology.

In The Last Decade

Subu Subramanian

8 papers receiving 522 citations

Hit Papers

align trajectories

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.

Large language models generate functional protein sequences across diverse families

2023 487 citations Ali Madani, Ben Krause et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subu Subramanian United States	5	394	62	48	48	45	8	542
Ben Krause United States	5	357 0.9×	62 1.0×	68 1.4×	46 1.0×	44 1.0×	22	547
Noelia Ferruz Spain	12	652 1.7×	117 1.9×	59 1.2×	131 2.7×	68 1.5×	20	818
Dan Ofer Israel	10	697 1.8×	110 1.8×	95 2.0×	41 0.9×	47 1.0×	17	881
Guohui Chuai China	14	827 2.1×	105 1.7×	63 1.3×	67 1.4×	70 1.6×	24	976
Grigory Khimulya Russia	5	978 2.5×	129 2.1×	45 0.9×	82 1.7×	58 1.3×	5	1.1k
Ghalia Rehawi Germany	3	928 2.4×	188 3.0×	61 1.3×	80 1.7×	69 1.5×	4	1.1k
Judith D. Cohn United States	11	378 1.0×	117 1.9×	82 1.7×	101 2.1×	14 0.3×	18	482
Prashant K. Khade United States	10	261 0.7×	79 1.3×	17 0.4×	94 2.0×	12 0.3×	18	435
Pemra Özbek Türkiye	10	281 0.7×	56 0.9×	20 0.4×	36 0.8×	40 0.9×	39	419
Öznur Taştan Türkiye	15	513 1.3×	159 2.6×	83 1.7×	37 0.8×	20 0.4×	40	715

Countries citing papers authored by Subu Subramanian

Since Specialization

Citations

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

Fields of papers citing papers by Subu Subramanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subu Subramanian

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

All Works

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8 of 8 papers shown

1.

Huang, Yongjian, Subu Subramanian, Christine L. Gee, et al.. (2024). Autoinhibition of a clamp-loader ATPase revealed by deep mutagenesis and cryo-EM. Nature Structural & Molecular Biology. 31(3). 424–435. 1 indexed citations

2.

Subramanian, Subu, et al.. (2024). Adaptive Capacity of a DNA Polymerase Clamp-loader ATPase Complex. Molecular Biology and Evolution. 41(3). 2 indexed citations

3.

Subramanian, Subu, et al.. (2024). Deep-learning-based design of synthetic orthologs of SH3 signaling domains. Cell Systems. 15(8). 725–737.e7. 2 indexed citations

4.

Madani, Ali, Ben Krause, Eric R. Greene, et al.. (2023). Large language models generate functional protein sequences across diverse families. Nature Biotechnology. 41(8). 1099–1106. 487 indexed citations breakdown →

5.

Yang, Kailu, Chuchu Wang, Alex J.B. Kreutzberger, et al.. (2022). Nanomolar inhibition of SARS-CoV-2 infection by an unmodified peptide targeting the prehairpin intermediate of the spike protein. Proceedings of the National Academy of Sciences. 119(40). e2210990119–e2210990119. 27 indexed citations

6.

Subramanian, Subu, et al.. (2021). Allosteric communication in DNA polymerase clamp loaders relies on a critical hydrogen-bonded junction. eLife. 10. 13 indexed citations

7.

Subramanian, Subu, William P. Russ, & Rama Ranganathan. (2018). A set of experimentally validated, mutually orthogonal primers for combinatorially specifying genetic components. PubMed Central. 3(1). 5 indexed citations

8.

Stiffler, Michael A., Subu Subramanian, Victor H. Salinas, & Rama Ranganathan. (2016). A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing. Journal of Visualized Experiments. 5 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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