Mary Lor

1.5k citations
23 papers · 335 · h-index 10

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 3
    • SARS-CoV-2 and COVID-19 Research 3
    • HIV/AIDS drug development and treatment 2

Mary Lor

22 papers receiving 327 citations

Peers

Mary Lor
Comparison fields: 5 of 69
  • Virology 39
  • Immunology 159
  • Hematology 61
  • Transplantation 11
  • Infectious Diseases 54
Replace Kaley Tash with:
Kaley Tash United States
J. Rafael Argüello United Kingdom
V.C. Suraj United Kingdom
Cristine J. Cooper United States
Neelima Choudhary United States
Christine Estrade Switzerland
Sungyoo Cho United States
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O Weinberger United States
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Citations per field
00.5×5.1×
Kaley Tash · 1×
Citations per year

Countries citing papers authored by Mary Lor

Since Specialization
Citations

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

Fields of papers citing papers by Mary Lor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 201341
3 201536
4 202224
5 202319
6 202117
7 201617
8 201914
9 201813
10 201911
11 20229
12 20199
13 20178
14 20185
15 20134
16 20123
17 20103
18 20102
19 20241
20 20131

About Mary Lor

Mary Lor is a scholar working on Immunology, Infectious Diseases, Epidemiology, Hematology and Virology, having authored 23 papers that have together received 335 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (4 papers), T-cell and B-cell Immunology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Virus-based gene therapy research (3 papers), Pregnancy and preeclampsia studies (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Virology (39 citations), Immunology (159 citations), Hematology (61 citations), Transplantation (11 citations) and Infectious Diseases (54 citations). Mary Lor has collaborated with scholars based in Australia, China and Indonesia. Frequent co-authors include David Harrich, Rachel D. Kuns, Katie E. Lineburg, Bianca E. Teal, Kelli P. A. MacDonald, Lucie Leveque, Geoffrey R. Hill, Kate A. Markey, Andrew D. Clouston and Motoko Koyama. Their work appears in journals such as Blood, Molecular Immunology, mBio, Virology Journal and Journal of Virology.

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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