Moumita Ray

51 papers receiving 1.9k citations

Moumita Ray's Hit Papers

Direct Cytosolic Delivery of CRISPR/Cas9-Ribonucleoprotein for Efficient Gene Editing 2017 · 463 citations
4630+3+6Years since publication100200300400

Peers

Moumita Ray
Comparison fields: 5 of 128
  • Business and International Management 52
  • Biomaterials 331
  • Molecular Biology 1.2k
  • Aging 18
  • Surfaces, Coatings and Films 59
Replace Yanyan Yu with:
Yanyan Yu China
Ji‐Hyun Lee South Korea
Quanbing Mou China
Joseph Hardie United States
Dongxia Wang China
Huping Jiao China
Chunyang Lei China
José Ramón Murguía Spain
Moumita Ray relative to Yanyan Yu China Yanyan Yu's profile →
Citations per field
00.5×3.3×
Yanyan Yu · 1×
Citations per year

Countries citing papers authored by Moumita Ray

Since Specialization
Citations

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

Fields of papers citing papers by Moumita Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Moumita Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Moumita Ray Line = papers co-authored together Moumita Ray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Direct Cytosolic Delivery of CRISPR/Cas9-Ribonucleoprotein for Efficient Gene Editing
Hit paper breakdown →
2017463
2 2017188
3 2018181
4 2017136
5 201897
6 201783
7 201379
8 201772
9 201565
10 201765
11 201655
12 201945
13 201540
14 201832
15 201627
16 201526
17 201823
18 201620
19 201619
20 201418

About Moumita Ray

Moumita Ray is a scholar working on Molecular Biology, Materials Chemistry, Biomaterials, Oncology and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (6 papers), Nanoparticle-Based Drug Delivery (5 papers), Electrochemical Analysis and Applications (4 papers), Electrochemical sensors and biosensors (4 papers), Natural Antidiabetic Agents Studies (3 papers), CRISPR and Genetic Engineering (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Business and International Management (52 citations), Biomaterials (331 citations), Molecular Biology (1.2k citations), Aging (18 citations) and Surfaces, Coatings and Films (59 citations). Moumita Ray has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Vincent M. Rotello, Rubul Mout, Yi-Wei Lee, Gülen Yesilbag Tonga, Tristan Tay, Kanae Sasaki, Federica Scaletti, Joseph Hardie, Dérick Rousseau and David C. Luther. Their work appears in journals such as Nanoscale, ACS Nano, Journal of Young Pharmacists, Bioconjugate Chemistry and Journal of the American Chemical Society.

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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