MaryAnn DeMaria

2.6k citations
15 papers · 2.1k indexed · 1 hit paper · h-index 14
Topics
T-cell and B-cell Immunology (7 papers)Immune Cell Function and Interaction (6 papers)Cytomegalovirus and herpesvirus research (5 papers)
Partner nations
United States

In The Last Decade

MaryAnn DeMaria

15 papers receiving 2.1k citations

Hit Papers

Dye efflux studies suggest that hematopoietic stem cells ...19972026200620161997250500750

Peers

MaryAnn DeMaria
Comparison fields: 5 of 97
  • Immunology 768
  • Molecular Biology 672
  • Oncology 639
  • Virology 406
  • Epidemiology 403
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B F Haynes United States
Estelle Oberlin France
Charles L. Goolsby United States
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Aude Magérus France
Julie Harriague France
Sonia Bakkour United States
James C. Neil United Kingdom
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MaryAnn DeMaria relative to B F Haynes United States B F Haynes's profile →
Citations per field
00.5×1.5×1.9×
B F Haynes · 1×
Citations per year

Countries citing papers authored by MaryAnn DeMaria

Since Specialization
Citations

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

Fields of papers citing papers by MaryAnn DeMaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MaryAnn DeMaria

This figure shows the co-authorship network connecting the top 25 collaborators of MaryAnn DeMaria. A scholar is included among the top collaborators of MaryAnn DeMaria based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with MaryAnn DeMaria. MaryAnn DeMaria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 125
2 221
3 35
4 20
5 213
6 155
7 89
8 3
9 97
10
Dye efflux studies suggest that hematopoietic stem cells expressing low or undetectable levels of CD34 antigen exist in multiple speciesbreakdown →
879
11 65
12 63
13 55
14 13
15
Strategies for generating monoclonal antibodies defining human t-lymphocyte differentiation antigens.
93

About MaryAnn DeMaria

MaryAnn DeMaria is a scholar working on Immunology, Virology and Oncology, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Cytomegalovirus and herpesvirus research (5 papers). The work is most often cited by research in Virology (406 citations), Immunology (768 citations) and Hematology (370 citations). MaryAnn DeMaria has collaborated with scholars based in United States. Frequent co-authors include Michael Rosenzweig, R. Paul Johnson, Douglas Marks, Margaret A. Goodell, Stephen Grupp, Richard C. Mulligan, G Paradis, Hyung L. Kim, Colin A. Sieff and Jae U. Jung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and 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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