Ratna Chakrabarti

2.3k citations
58 papers · 1.8k indexed · h-index 23

Ratna Chakrabarti

57 papers receiving 1.8k citations

Peers

Ratna Chakrabarti
Comparison fields: 5 of 126
  • Parasitology 151
  • Cancer Research 276
  • Cell Biology 257
  • Virology 61
  • Molecular Biology 842
Replace Annemarthe G. van der Veen with:
Annemarthe G. van der Veen United Kingdom
Marko Fonovič Slovenia
T. Mitamura Japan
Catherine H. Wu United States
Eef Parthoens Belgium
Dapeng Zhou China
José A. García‐Sanz Spain
John Pedersen Australia
Stephen B. Willingham United States
Ratna Chakrabarti relative to Annemarthe G. van der Veen United Kingdom Annemarthe G. van der Veen's profile →
Citations per field
00.5×1.7×
Annemarthe G. van der Veen · 1×
Citations per year

Countries citing papers authored by Ratna Chakrabarti

Since Specialization
Citations

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

Fields of papers citing papers by Ratna Chakrabarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ratna Chakrabarti, 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 Ratna Chakrabarti Line = papers co-authored together Ratna Chakrabarti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20239
3 202017
4 202044
5 20196
6 201977
7 201421
8 201221
9 200621
10 200519
11 200513
12 200351
13 200221
14 200231
15 199813
16 199615
17 199521
18 199529
19 19935
20 199246

About Ratna Chakrabarti

Ratna Chakrabarti is a scholar working on Cancer Research, Parasitology, Cell Biology, Virology and Molecular Biology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), RNA modifications and cancer (5 papers), Circular RNAs in diseases (5 papers), Malaria Research and Control (5 papers), Microtubule and mitosis dynamics (4 papers) and Clinical Nutrition and Gastroenterology (4 papers). The work is most often cited by research in Parasitology (151 citations), Cancer Research (276 citations), Cell Biology (257 citations), Virology (61 citations) and Molecular Biology (842 citations). Ratna Chakrabarti has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Richard Ottman, Mónica Dávila, William E. Grizzle, S M Schuster, Josef Neu, Vivek B. Shenoy, D E Wylie, Andra R. Frost, Debopam Chakrabarti and Christian Doerig. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cancer, Journal of Proteome Research, The American Journal of Surgery and Proceedings of the National Academy of Sciences.

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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