Dagmar Klein

4.1k citations
66 papers · 3.4k · h-index 34

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Diabetes Management and Research
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients

Papers in

Dagmar Klein

65 papers receiving 3.3k citations

Peers

Dagmar Klein
Comparison fields: 5 of 125
  • Immunology 849
  • Endocrinology, Diabetes and Metabolism 511
  • Genetics 614
  • Cancer Research 295
  • Surgery 803
Replace Emily Rinderknecht with:
Emily Rinderknecht Germany
Y.-C. E. Pan United States
Peter T. Lomedico United States
Thierry J. Velu Belgium
Andrew D. Nash Australia
Andrew C. Webb United States
Ganesh A. Kolumam United States
J D Hulmes United States
Jade Tso United States
Alexei V. Tumanov United States
Dagmar Klein relative to Emily Rinderknecht Germany Emily Rinderknecht's profile →
Citations per field
00.5×2×3×3.9×
Emily Rinderknecht · 1×
Citations per year

Countries citing papers authored by Dagmar Klein

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Klein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982253
2 2004200
3 2004180
4 1973169
5 2007145
6 2020128
7 2007125
8 2013115
9 2002107
10 1991105
11 1989104
12 200798
13 200193
14 200476
15 200567
16 200564
17 201263
18 199361
19 200360
20 200460

About Dagmar Klein

Dagmar Klein is a scholar working on Cancer Research, Surgery, Immunology, Genetics and Molecular Biology, having authored 66 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (24 papers), MicroRNA in disease regulation (8 papers), Diabetes and associated disorders (7 papers), RNA Interference and Gene Delivery (6 papers), T-cell and B-cell Immunology (5 papers), Diabetes Management and Research (4 papers), Pluripotent Stem Cells Research (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (849 citations), Endocrinology, Diabetes and Metabolism (511 citations), Genetics (614 citations), Cancer Research (295 citations) and Surgery (803 citations). Dagmar Klein has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Jan Klein, Marc G. Jeschke, Felipe Figueroa, Ricardo Luis Pastori, Camillo Ricordi, Ulrich Bolder, Ralf Einspanier, David Newcomb Herndon, Juan Domínguez‐Bendala and Věra Hauptfeld. Their work appears in journals such as Immunogenetics, Diabetes, Human Immunology, Transplantation and Cell Transplantation.

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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