Monica DeLay

2.0k citations
23 papers · 1.5k indexed · h-index 17

Monica DeLay

23 papers receiving 1.5k citations

Peers

Monica DeLay
Comparison fields: 5 of 86
  • Rheumatology 785
  • Hematology 469
  • Immunology 800
  • Cell Biology 237
  • Dermatology 109
Replace Leonie M. van Duivenvoorde with:
Leonie M. van Duivenvoorde Netherlands
Nitza G. Shoham Israel
Jácome Bruges‐Armas Portugal
Sarah Krausz Netherlands
John Mee United Kingdom
Jean‐Paul Rivals Switzerland
Antonella Circolo United States
Akinori Kusumi Japan
Adrian Tun-Kyi United States
Mercedesz Balázs United States
Monica DeLay relative to Leonie M. van Duivenvoorde Netherlands Leonie M. van Duivenvoorde's profile →
Citations per field
00.5×11.3×
Leonie M. van Duivenvoorde · 1×
Citations per year

Countries citing papers authored by Monica DeLay

Since Specialization
Citations

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

Fields of papers citing papers by Monica DeLay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20223
2 20205
3 202013
4 202017
5 201848
6 201616
7 201521
8 201213
9 200953
10 2009123
11 2009307
12 200922
13 200878
14 2008145
15 2006120
16 2005196
17 20058
18 200445
19 2002192
20 199911

About Monica DeLay

Monica DeLay is a scholar working on Hematology, Immunology, Cell Biology, Biophysics and Rheumatology, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Single-cell and spatial transcriptomics (6 papers), Autoimmune and Inflammatory Disorders Research (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), T-cell and B-cell Immunology (4 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Pluripotent Stem Cells Research (2 papers) and Spondyloarthritis Studies and Treatments (2 papers). The work is most often cited by research in Rheumatology (785 citations), Hematology (469 citations), Immunology (800 citations), Cell Biology (237 citations) and Dermatology (109 citations). Monica DeLay has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Robert A. Colbert, E. Klenk, Dawn P. Sowders, Judith A. Smith, Matthew J Turner, Matthew J. Turner, Gerlinde Layh‐Schmitt, D. Kingsbury, Andreas Ziegler and Barbara Uchańska‐Ziegler. Their work appears in journals such as The Journal of Immunology, Cytometry Part A, Journal of Biomolecular Techniques JBT, Prion and Advances in experimental medicine and biology.

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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