Vikas Daggubati

764 citations
14 papers · 527 · h-index 9

Impact in

    • Microtubule and mitosis dynamics
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • DNA Repair Mechanisms
    • Photosynthetic Processes and Mechanisms

Papers in

    • Hedgehog Signaling Pathway Studies 7
    • Epigenetics and DNA Methylation 6
    • Ubiquitin and proteasome pathways 2
    • Microtubule and mitosis dynamics 4

Vikas Daggubati

13 papers receiving 521 citations

Peers

Vikas Daggubati
Comparison fields: 5 of 60
  • Cell Biology 344
  • Molecular Biology 420
  • Oncology 112
  • Genetics 112
  • Aging 5
Replace Onur Cizmecioglu with:
Onur Cizmecioglu Germany
Nora Shannon United Kingdom
Nadine Hornig Germany
Rutger C.C. Hengeveld Netherlands
Lilian Kabeche United States
Yohei Niikura United States
Shang-Yi Chiu United States
Tetsuro Morisaki Japan
Mary E. Gagou United Kingdom
Hyun-Ja Nam United States
Vikas Daggubati relative to Onur Cizmecioglu Germany Onur Cizmecioglu's profile →
Citations per field
00.5×1.7×
Onur Cizmecioglu · 1×
Citations per year

Countries citing papers authored by Vikas Daggubati

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Daggubati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2016163
2 2015155
3 2015110
4 202222
5 202018
6 202116
7 201810
8 20219
9 20209
10 20208
11 20215
12 20221
13 20201
14 20220

About Vikas Daggubati

Vikas Daggubati is a scholar working on Molecular Biology, Cell Biology, Genetics, Surgery and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 527 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (7 papers), Epigenetics and DNA Methylation (6 papers), Microtubule and mitosis dynamics (4 papers), Glioma Diagnosis and Treatment (3 papers), Chromosomal and Genetic Variations (2 papers), Ubiquitin and proteasome pathways (2 papers), MicroRNA in disease regulation (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Cell Biology (344 citations), Molecular Biology (420 citations), Oncology (112 citations), Genetics (112 citations) and Aging (5 citations). Vikas Daggubati has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include Andrew J. Holland, Kevin M. Clutario, Bramwell G. Lambrus, Greenfield Sluder, Yumi Uetake, Tyler C. Moyer, Phillip M. Scott, M Snyder, David R. Raleigh and Abrar Choudhury. Their work appears in journals such as The Journal of Cell Biology, Neuro-Oncology, Journal of Clinical Investigation, International Journal of Radiation Oncology*Biology*Physics and Acta Neuropathologica Communications.

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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