D-Index & Metrics Best Publications

D-Index & Metrics

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
Immunology D-index 79 Citations 30,566 290 World Ranking 679 National Ranking 395
Medicine D-index 81 Citations 32,211 331 World Ranking 8987 National Ranking 4876

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Immune system
  • Virus

Bjoern Peters spends much of his time researching Epitope, Immune system, Major histocompatibility complex, Immunology and Computational biology. The Epitope study which covers Virology that intersects with T cell and Vaccinia. His work carried out in the field of Immune system brings together such families of science as Host organism, Database structure and Immunogenetics.

His Major histocompatibility complex research is multidisciplinary, relying on both Human leukocyte antigen, Antigen presentation and Database. As a part of the same scientific family, Bjoern Peters mostly works in the field of Immunology, focusing on Cytotoxic T cell and, on occasion, Dengue virus, Cell biology and Drug development. His Computational biology research includes elements of Peptide, T-Cell Epitopes, Binding site and Bioinformatics.

His most cited work include:

  • Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals. (1252 citations)
  • Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals. (1252 citations)
  • The immune epitope database (IEDB) 3.0 (656 citations)

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

His primary areas of investigation include Epitope, Immunology, T cell, Immune system and Antigen. His biological study spans a wide range of topics, including Human leukocyte antigen, Computational biology, Major histocompatibility complex and Virology. His Virology research includes themes of Cytotoxic T cell, Immunodominance and CD8.

The various areas that he examines in his Immunology study include Peripheral blood mononuclear cell and Disease. His T cell research integrates issues from Flow cytometry, Allergy and Cell biology. His Immune system research incorporates elements of Cell, Database, Epitope mapping and Transplantation.

He most often published in these fields:

  • Epitope (62.02%)
  • Immunology (41.21%)
  • T cell (44.65%)

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

  • T cell (44.65%)
  • Immune system (40.40%)
  • Computational biology (30.10%)

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

Bjoern Peters mainly focuses on T cell, Immune system, Computational biology, Epitope and Immunology. His work deals with themes such as Virology, Human leukocyte antigen, CD8, Antigen and Antibody, which intersect with T cell. His Immune system study combines topics from a wide range of disciplines, such as Virus, Risk analysis, Transplantation and Cell biology.

His Computational biology study integrates concerns from other disciplines, such as Gene expression, Immune Epitope Database and Analysis Resource, Major histocompatibility complex, MHC class II and Coronavirus. In general Epitope, his work in Epitope mapping is often linked to Hierarchy linking many areas of study. He has included themes like Peripheral blood mononuclear cell and Disease in his Immunology study.

Between 2019 and 2021, his most popular works were:

  • Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals. (1252 citations)
  • Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals. (1252 citations)
  • A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2 (451 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Immune system
  • Virus

His primary scientific interests are in T cell, CD8, Immune system, Severe acute respiratory syndrome coronavirus 2 and Antibody. His research in T cell intersects with topics in Virology, Levodopa, Disease, Parkinson's disease and Epitope. Bjoern Peters is involved in the study of Epitope that focuses on Epitope mapping in particular.

His CD8 research is multidisciplinary, incorporating perspectives in Cytotoxic T cell and Human leukocyte antigen. His study in Immune system is interdisciplinary in nature, drawing from both Virus, Computational biology and Ligand. The study incorporates disciplines such as Antigen processing, MHC class II, MHC class I, Peptide binding and Major histocompatibility complex in addition to Computational biology.

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

Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals.

Alba Grifoni;Daniela Weiskopf;Sydney I. Ramirez;Sydney I. Ramirez;Jose Mateus.
Cell (2020)

1477 Citations

The immune epitope database (IEDB) 3.0

Randi Vita;James A. Overton;Jason A. Greenbaum;Julia V. Ponomarenko.
Nucleic Acids Research (2015)

865 Citations

A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach

Peng Wang;John Sidney;Courtney Dow;Courtney Dow;Bianca Mothé.
PLOS Computational Biology (2008)

717 Citations

The Immune Epitope Database 2.0

Randi Vita;Laura Zarebski;Jason A. Greenbaum;Hussein Emami.
Nucleic Acids Research (2010)

696 Citations

NetMHCpan, a method for MHC class I binding prediction beyond humans

Ilka Hoof;Bjoern Peters;John Sidney;Lasse Eggers Pedersen.
Immunogenetics (2009)

618 Citations

HLA class I supertypes: a revised and updated classification

John Sidney;Bjoern Peters;Nicole Frahm;Christian Brander.
BMC Immunology (2008)

584 Citations

NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data

Vanessa Isabell Jurtz;Sinu Paul;Massimo Andreatta;Paolo Marcatili.
Journal of Immunology (2017)

574 Citations

A consensus epitope prediction approach identifies the breadth of murine T(CD8+)-cell responses to vaccinia virus.

Magdalini Moutaftsi;Bjoern Peters;Valerie Pasquetto;David C Tscharke.
Nature Biotechnology (2006)

499 Citations

NetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequence.

Morten A. Nielsen;Claus Lundegaard;Thomas H. Blicher;Kasper Lamberth.
PLOS ONE (2007)

493 Citations

A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2

Alba Grifoni;John Sidney;Yun Zhang;Richard H. Scheuermann.
Cell Host & Microbe (2020)

486 Citations

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