Sruthi Mantri

3.7k total citations · 2 hit papers
9 papers, 1.6k citations indexed

About

Sruthi Mantri is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sruthi Mantri has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sruthi Mantri's work include CRISPR and Genetic Engineering (5 papers), Cardiac Fibrosis and Remodeling (2 papers) and CAR-T cell therapy research (2 papers). Sruthi Mantri is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Cardiac Fibrosis and Remodeling (2 papers) and CAR-T cell therapy research (2 papers). Sruthi Mantri collaborates with scholars based in United States, Netherlands and Denmark. Sruthi Mantri's co-authors include Matthew H. Porteus, Mara Pavel-Dinu, Kenneth I. Weinberg, Joab Camarena, Daniel P. Dever, Carmencita E. Nicolas, Rasmus O. Bak, Ravindra Majeti, Beruh Dejene and Andreas Reinisch and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Sruthi Mantri

9 papers receiving 1.6k citations

Hit Papers

Identification of preexisting adaptive immunity to Cas9 p... 2016 2026 2019 2022 2019 2016 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. Identification of preexisting adaptive immunity to Cas9 proteins in humans
    2019 665 citations Carsten T. Charlesworth, Daniel P. Dever et al. Nature Medicine profile →
  2. CRISPR/Cas9 β-globin gene targeting in human haematopoietic stem cells
    2016 641 citations Daniel P. Dever, Rasmus O. Bak et al. Nature profile →

Peers

Sruthi Mantri
Alec B. Wilkens United States
Mara Pavel-Dinu United States
Joab Camarena United States
M. Kyle Cromer United States
Giulia Pavani United States
Timothy Davis United States
Carsten T. Charlesworth United States
Pietro Genovese United States
Jihye Cha South Korea
Emma Haapaniemi Finland
Alec B. Wilkens United States
Sruthi Mantri
Citations per year, relative to Sruthi Mantri Sruthi Mantri (= 1×) peers Alec B. Wilkens

Countries citing papers authored by Sruthi Mantri

Since Specialization
Citations

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

Fields of papers citing papers by Sruthi Mantri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sruthi Mantri

This figure shows the co-authorship network connecting the top 25 collaborators of Sruthi Mantri. A scholar is included among the top collaborators of Sruthi Mantri 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 Sruthi Mantri. Sruthi Mantri 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.
Goodyer, William R., Benjamin Beyersdorf, Lauren Duan, et al.. (2022). In vivo visualization and molecular targeting of the cardiac conduction system. Journal of Clinical Investigation. 132(20). 8 indexed citations
2.
Mantri, Sruthi, Sean M. Wu, & William R. Goodyer. (2021). Molecular Profiling of the Cardiac Conduction System: the Dawn of a New Era. Current Cardiology Reports. 23(8). 103–103. 4 indexed citations
3.
Srifa, Waracharee, Nina Kosaric, Sruthi Mantri, et al.. (2020). Cas9-AAV6-engineered human mesenchymal stromal cells improved cutaneous wound healing in diabetic mice. Nature Communications. 11(1). 2470–2470. 61 indexed citations
4.
Mantri, Sruthi, et al.. (2020). The Binns Program for Cord Blood Research: A novel model of cord blood banking for academic biomedical research. Placenta. 103. 50–52. 3 indexed citations
5.
Mantri, Sruthi, Andreas Reinisch, Beruh Dejene, et al.. (2020). CD34 expression does not correlate with immunophenotypic stem cell or progenitor content in human cord blood products. Blood Advances. 4(21). 5357–5361. 5 indexed citations
6.
Charlesworth, Carsten T., Daniel P. Dever, Joab Camarena, et al.. (2019). Identification of preexisting adaptive immunity to Cas9 proteins in humans. Nature Medicine. 25(2). 249–254. 665 indexed citations breakdown →
7.
Gomez‐Ospina, Natalia, Rasmus O. Bak, Sruthi Mantri, et al.. (2019). Human genome-edited hematopoietic stem cells phenotypically correct Mucopolysaccharidosis type I. Nature Communications. 10(1). 4045–4045. 93 indexed citations
8.
Pavel-Dinu, Mara, Volker Wiebking, Beruh Dejene, et al.. (2019). Gene correction for SCID-X1 in long-term hematopoietic stem cells. Nature Communications. 10(1). 1634–1634. 135 indexed citations
9.
Dever, Daniel P., Rasmus O. Bak, Andreas Reinisch, et al.. (2016). CRISPR/Cas9 β-globin gene targeting in human haematopoietic stem cells. Nature. 539(7629). 384–389. 641 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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