D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 51 Citations 32,746 121 World Ranking 12337 National Ranking 345

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

His primary areas of investigation include Microvesicles, Cell biology, Exosome, ExoCarta and Proteome. His Microvesicles research is multidisciplinary, incorporating elements of Cell-Derived Microparticles and Extracellular vesicles. ESCRT and Transport protein are among the areas of Cell biology where Suresh Mathivanan concentrates his study.

His Exosome study deals with Microvesicle intersecting with Biogenesis, Cell signaling, Apoptotic body and Signal transduction. His research in ExoCarta tackles topics such as RNA which are related to areas like Protein–protein interaction and Interaction network. Suresh Mathivanan has included themes like Cell and Proteomics in his Proteome study.

His most cited work include:

  • Human Protein Reference Database—2009 update (2458 citations)
  • Minimal information for studies of extracellular vesicles 2018 (MISEV2018) : a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines (2148 citations)
  • Exosomes: extracellular organelles important in intercellular communication. (1497 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Cell biology, Microvesicles, Proteomics, Extracellular vesicles and Computational biology. His study explores the link between Cell biology and topics such as Biogenesis that cross with problems in Nucleic acid and Ubiquitin. His studies in Microvesicles integrate themes in fields like Secretion, Cell-Derived Microparticles and Bioinformatics.

Suresh Mathivanan combines subjects such as Proteome and Mass spectrometry with his study of Proteomics. His study looks at the intersection of Extracellular vesicles and topics like World Wide Web with Identification. His study in Computational biology is interdisciplinary in nature, drawing from both Annotation, Genetics, Phosphorylation and Human proteome project.

He most often published in these fields:

  • Cell biology (45.83%)
  • Microvesicles (36.67%)
  • Proteomics (22.50%)

What were the highlights of his more recent work (between 2019-2021)?

  • Cell biology (45.83%)
  • Microvesicles (36.67%)
  • Extracellular vesicles (16.67%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Cell biology, Microvesicles, Extracellular vesicles, Secretion and Cancer research. The Cell biology study combines topics in areas such as Biogenesis, Nucleic acid, Cytokine, Innate immune system and Cell type. His work in Microvesicles tackles topics such as Disease which are related to areas like Obesity, Body weight and Neuroscience.

The concepts of his Extracellular vesicles study are interwoven with issues in Extracellular, Organism and Drug delivery. His work deals with themes such as Candida albicans, Cryptococcus neoformans and Microbiology, which intersect with Secretion. His Cancer research research includes themes of Cancer cell, Proteomics, Neuroblastoma and Drug metabolism.

Between 2019 and 2021, his most popular works were:

  • Extracellular Vesicles From the Cotton Pathogen Fusarium oxysporum f. sp. vasinfectum Induce a Phytotoxic Response in Plants. (23 citations)
  • Milk-Derived Extracellular Vesicles in Inter-Organism, Cross-Species Communication and Drug Delivery. (19 citations)
  • The Protective Effect of Exercise in Neurodegenerative Diseases: The Potential Role of Extracellular Vesicles. (6 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Minimal information for studies of extracellular vesicles 2018 (MISEV2018) : a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines

Clotilde Théry;Kenneth W. Witwer;Elena Aikawa;Maria Jose Alcaraz.
Journal of extracellular vesicles (2018)

6217 Citations

Human Protein Reference Database—2009 update

T. S. Keshava Prasad;Renu Goel;Kumaran Kandasamy;Kumaran Kandasamy;Shivakumar Keerthikumar.
Nucleic Acids Research (2009)

3382 Citations

Minimal experimental requirements for definition of extracellular vesicles and their functions: a position statement from the International Society for Extracellular Vesicles.

Jan Lötvall;Andrew F Hill;Fred H. Hochberg;Edit I Buzás.
Journal of extracellular vesicles (2014)

2098 Citations

Exosomes: extracellular organelles important in intercellular communication.

Suresh Mathivanan;Hong Ji;Richard J. Simpson.
Journal of Proteomics (2010)

2015 Citations

Vesiclepedia: a compendium for extracellular vesicles with continuous community annotation

Hina Kalra;Richard J. Simpson;Hong Ji;Elena Aikawa.
PLOS Biology (2012)

1081 Citations

Comparison of ultracentrifugation, density gradient separation, and immunoaffinity capture methods for isolating human colon cancer cell line LIM1863-derived exosomes.

Bow J. Tauro;David W. Greening;Rommel A. Mathias;Hong Ji.
Methods (2012)

1008 Citations

Exosomes: proteomic insights and diagnostic potential

Richard J Simpson;Justin We Lim;Robert L Moritz;Suresh Mathivanan.
Expert Review of Proteomics (2009)

938 Citations

ExoCarta 2012: database of exosomal proteins, RNA and lipids

Suresh Mathivanan;Cassie J. Fahner;Gavin E. Reid;Richard J. Simpson.
Nucleic Acids Research (2012)

834 Citations

ExoCarta: A compendium of exosomal proteins and RNA.

Suresh Mathivanan;Richard J. Simpson.
Proteomics (2009)

787 Citations

FunRich: An open access standalone functional enrichment and interaction network analysis tool

Mohashin Pathan;Shivakumar Keerthikumar;Ching-Seng Ang;Lahiru Gangoda.
Proteomics (2015)

742 Citations

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