Meena Subramaniam

4.3k total citations · 2 hit papers
11 papers, 1.4k citations indexed

About

Meena Subramaniam is a scholar working on Molecular Biology, Rheumatology and Genetics. According to data from OpenAlex, Meena Subramaniam has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Rheumatology and 2 papers in Genetics. Recurrent topics in Meena Subramaniam's work include Single-cell and spatial transcriptomics (7 papers), CRISPR and Genetic Engineering (2 papers) and Evolution and Genetic Dynamics (2 papers). Meena Subramaniam is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), CRISPR and Genetic Engineering (2 papers) and Evolution and Genetic Dynamics (2 papers). Meena Subramaniam collaborates with scholars based in United States, Canada and Australia. Meena Subramaniam's co-authors include Chun Ye, Rachel E. Gate, Alexander Marson, Eric Boyer, Steven Lin, Dimitre R. Simeonov, Jennifer A. Doudna, Kathrin Schumann, Jeffrey A. Bluestone and Lauren Byrnes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.

In The Last Decade

Meena Subramaniam

11 papers receiving 1.4k 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.

Generation of knock-in primary human T cells using Cas9 ribonucleoproteins

2015 533 citations Kathrin Schumann, Steven Lin et al. Proceedings of the National Academy of Sciences profile →
Multiplexed droplet single-cell RNA-sequencing using natural genetic variation

2017 525 citations Hyun Min Kang, Meena Subramaniam 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
Meena Subramaniam United States	9	1.1k	277	276	258	162	11	1.4k
Rachel E. Gate United States	6	1.2k 1.1×	541 2.0×	362 1.3×	694 2.7×	130 0.8×	8	1.9k
Derek Peters United States	8	1.3k 1.2×	96 0.3×	143 0.5×	134 0.5×	160 1.0×	9	1.4k
Matthew A. Coelho United Kingdom	9	708 0.6×	221 0.8×	112 0.4×	403 1.6×	101 0.6×	12	1.1k
Rik G.H. Lindeboom Netherlands	19	1.5k 1.4×	131 0.5×	240 0.9×	285 1.1×	365 2.3×	26	1.9k
Adrian Schwarzer Germany	17	855 0.8×	218 0.8×	460 1.7×	346 1.3×	99 0.6×	44	1.2k
Sowmya Iyer United States	14	2.0k 1.8×	159 0.6×	465 1.7×	158 0.6×	147 0.9×	18	2.2k
Steven J. Wu United States	6	1.2k 1.1×	158 0.6×	141 0.5×	86 0.3×	194 1.2×	7	1.5k
Giulia Escobar United States	12	638 0.6×	736 2.7×	286 1.0×	721 2.8×	91 0.6×	22	1.5k
Aliaksandra Radzisheuskaya United Kingdom	15	1.3k 1.1×	121 0.4×	121 0.4×	115 0.4×	127 0.8×	20	1.4k
Alice M.S. Cheung Singapore	16	789 0.7×	199 0.7×	92 0.3×	332 1.3×	178 1.1×	39	1.3k

Countries citing papers authored by Meena Subramaniam

Since Specialization

Citations

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

Fields of papers citing papers by Meena Subramaniam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meena Subramaniam

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Kottam, Nagaraju, et al.. (2023). Green-engineered synthesis of Bi2Zr2O7 NPs: excellent performance on electrochemical sensor and sunlight-driven photocatalytic studies. Environmental Science and Pollution Research. 11 indexed citations

2.

He, Bryan, Matthew Thomson, Meena Subramaniam, et al.. (2021). CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq. 337–348. 8 indexed citations

3.

Kang, Hyun Min, Meena Subramaniam, Sasha Targ, et al.. (2020). Author Correction: Multiplexed droplet single-cell RNA-sequencing using natural genetic variation. Nature Biotechnology. 38(11). 1356–1356. 4 indexed citations

4.

Liu, Xuanyao, Joel Mefford, Andrew Dahl, et al.. (2020). GBAT: a gene-based association test for robust detection of trans-gene regulation. Genome biology. 21(1). 211–211. 12 indexed citations

5.

Mandric, Igor, Arunabha Majumdar, Kangcheng Hou, et al.. (2020). Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis. Nature Communications. 11(1). 5504–5504. 36 indexed citations

6.

Lea, Amanda J., Meena Subramaniam, Arthur Ko, et al.. (2019). Genetic and environmental perturbations lead to regulatory decoherence. eLife. 8. 28 indexed citations

7.

DeTomaso, David, Matthew G. Jones, Meena Subramaniam, et al.. (2019). Functional interpretation of single cell similarity maps. Nature Communications. 10(1). 4376–4376. 128 indexed citations

8.

Subramaniam, Meena. (2019). Implementing and Applying Multiplexed Single Cell RNA-sequencing to Reveal Context-specific Effects in Systemic Lupus Erythematosus. eScholarship (California Digital Library). 1 indexed citations

9.

Byrnes, Lauren, Daniel Wong, Meena Subramaniam, et al.. (2018). Lineage dynamics of murine pancreatic development at single-cell resolution. Nature Communications. 9(1). 3922–3922. 123 indexed citations

10.

Kang, Hyun Min, Meena Subramaniam, Sasha Targ, et al.. (2017). Multiplexed droplet single-cell RNA-sequencing using natural genetic variation. Nature Biotechnology. 36(1). 89–94. 525 indexed citations breakdown →

11.

Schumann, Kathrin, Steven Lin, Eric Boyer, et al.. (2015). Generation of knock-in primary human T cells using Cas9 ribonucleoproteins. Proceedings of the National Academy of Sciences. 112(33). 10437–10442. 533 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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