Ram Ramabhadran

1.1k total citations
21 papers, 931 citations indexed

About

Ram Ramabhadran is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Ram Ramabhadran has authored 21 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Ram Ramabhadran's work include CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (3 papers) and Animal Genetics and Reproduction (3 papers). Ram Ramabhadran is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (3 papers) and Animal Genetics and Reproduction (3 papers). Ram Ramabhadran collaborates with scholars based in United States, France and Ghana. Ram Ramabhadran's co-authors include Steven O. Simmons, Chun‐Yang Fan, John Wakefield, Stephanie Padilla, John Cowden, Marı́a Burgos-Trinidad, Joyce E. Royland, Óscar Álzate, Gary C. Schoenwolf and Susan C. Chapman and has published in prestigious journals such as PLoS ONE, Development and Environmental Health Perspectives.

In The Last Decade

Ram Ramabhadran

21 papers receiving 913 citations

Peers

Ram Ramabhadran
Comparison fields: 5 of 117
  • Molecular Biology 423
  • Health, Toxicology and Mutagenesis 314
  • Genetics 121
  • Cell Biology 108
  • Pollution 97
Replace Antonio Planchart with:
Antonio Planchart United States
Francesca Di Renzo Italy
Chun‐Yang Fan China
Jonathan S. Ball United Kingdom
Elena Menegola Italy
Nebojša Andrić Serbia
Jui‐Hua Hsieh United States
Sanne A.B. Hermsen Netherlands
Nikolai L. Chepelev Canada
Karen Augustine‐Rauch United States
Antonio Planchart United States View profile →
Citations per field, relative to Ram Ramabhadran
Ram Ramabhadran · 1×
Citations per year, relative to Ram Ramabhadran
Ram Ramabhadran · 1×

Countries citing papers authored by Ram Ramabhadran

Since Specialization
Citations

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

Fields of papers citing papers by Ram Ramabhadran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Ramabhadran

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Ramabhadran. A scholar is included among the top collaborators of Ram Ramabhadran 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 Ram Ramabhadran. Ram Ramabhadran 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
# Work Indexed citations
1 1
2 21
3 34
4 36
5 9
6 15
7 34
8 5
9 101
10 57
11 220
12 148
13 12
14 4
15
Lentiviral mediated gene delivery to the anterior chamber of rodent eyes.
34
16 107
17 10
18
Role of p53 tumor suppressor in RPE cell biology: An analysis using DNA–directed siRNA delivered via lentiviral vectors
1
19 44
20 11

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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