MB Widmer

572 citations
12 papers · 465 · h-index 9

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • Immune Response and Inflammation 7
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 4
    • Toxin Mechanisms and Immunotoxins 2
    • T-cell and B-cell Immunology 2
    • Hematopoietic Stem Cell Transplantation 10

MB Widmer

12 papers receiving 455 citations

Peers

MB Widmer
Comparison fields: 5 of 54
  • Hematology 302
  • Immunology 256
  • Transplantation 14
  • Genetics 47
  • Oncology 84
Replace E.M. Mickelson with:
E.M. Mickelson United States
GC de Gast Netherlands
John H. Kersey United States
SC Gulati United States
Annie Soulié France
R. Hintermeíer-Knabe Germany
Masuji Yamamoto Japan
A Leprini Italy
G Prentice Australia
Li-Li Pan China
MB Widmer relative to E.M. Mickelson United States E.M. Mickelson's profile →
Citations per field
00.5×
E.M. Mickelson · 1×
Citations per year

Countries citing papers authored by MB Widmer

Since Specialization
Citations

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

Fields of papers citing papers by MB Widmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside MB Widmer, 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 MB Widmer Line = papers co-authored together MB Widmer links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1994282
2 198848
3 199130
4 198822
5 199421
6 198917
7 198913
8 199212
9 198810
10 19925
11 19913
12 19882

About MB Widmer

MB Widmer is a scholar working on Immunology, Hematology, Oncology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 12 papers that have together received 465 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Immune Response and Inflammation (7 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), Toxin Mechanisms and Immunotoxins (2 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Neutropenia and Cancer Infections (2 papers). The work is most often cited by research in Hematology (302 citations), Immunology (256 citations), Transplantation (14 citations), Genetics (47 citations) and Oncology (84 citations). MB Widmer has collaborated with scholars based in United States. Frequent co-authors include SA Brown, J. S. Thompson, DA Vallera, BR Blazar, Steven Gillis, DL Urdal, PA Taylor, Tim VandenBos, Brian S. Davis and J Wignall. Their work appears in journals such as Blood.

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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