Yvonne Hackmann

676 citations
9 papers · 480 · h-index 6

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research
  • Hematology top 10%
    • Autoimmune and Inflammatory Disorders Research

Papers in

Yvonne Hackmann

9 papers receiving 477 citations

Peers

Yvonne Hackmann
Comparison fields: 5 of 70
  • Physiology 79
  • Hematology 122
  • Cell Biology 169
  • Immunology 172
  • Infectious Diseases 62
Replace Maaike Neeft with:
Maaike Neeft Netherlands
Marnix Wieffer Germany
Jeroen Bakker Netherlands
Thijs van Vlijmen Netherlands
Larry Robert Peters United States
Debra M. MacIvor United States
Melanie Grove Germany
Waldo Spessott United States
Sankaranarayanan Srinivasan United States
Gregory C. Luerman United States
Yvonne Hackmann relative to Maaike Neeft Netherlands Maaike Neeft's profile →
Citations per field
00.5×3.9×
Maaike Neeft · 1×
Citations per year

Countries citing papers authored by Yvonne Hackmann

Since Specialization
Citations

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

Fields of papers citing papers by Yvonne Hackmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2014243
2 201481
3 201359
4 201138
5 201429
6 201521
7 20205
8 20153
9 20241

About Yvonne Hackmann

Yvonne Hackmann is a scholar working on Immunology, Cell Biology, Physiology, Hematology and Infectious Diseases, having authored 9 papers that have together received 480 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Immune Cell Function and Interaction (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Lysosomal Storage Disorders Research (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Parvovirus B19 Infection Studies (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Physiology (79 citations), Hematology (122 citations), Cell Biology (169 citations), Immunology (172 citations) and Infectious Diseases (62 citations). Yvonne Hackmann has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Gillian M. Griffiths, Nele M. G. Dieckmann, J. Paul Luzio, Maurizio Aricò, Valentina Cetica, Elena Sieni, Maria Luisa Coniglio, Daniela Pende, Benedetta Ciambotti and Martina Da Ros. Their work appears in journals such as Traffic, Journal of Allergy and Clinical Immunology, Frontiers in Immunology, Journal of Molecular Biology and eLife.

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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