Maria Kahn

2.2k citations
57 papers · 1.5k indexed · h-index 21

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • Tuberculosis Research and Epidemiology

Papers in

Maria Kahn

54 papers receiving 1.5k citations

Peers

Maria Kahn
Comparison fields: 5 of 100
  • Immunology 629
  • Infectious Diseases 534
  • Virology 86
  • Epidemiology 433
  • Genetics 111
Replace Cyrille Bisseyé with:
Cyrille Bisseyé Gabon
Kiyoshi F. Fukutani Brazil
H. G. Prentice United Kingdom
John A. Summerfield United Kingdom
Ivana Knežević Switzerland
David O. Irving Australia
Birthe Høgh Denmark
Mounzer Agha United States
Isaac Ssewanyana Uganda
Tandakha Ndiaye Dièye Senegal
Maria Kahn relative to Cyrille Bisseyé Gabon Cyrille Bisseyé's profile →
Citations per field
00.5×1.5×2.4×
Cyrille Bisseyé · 1×
Citations per year

Countries citing papers authored by Maria Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Maria Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20220
3 20222
4 20222
5 202124
6 20203
7 201861
8 20172
9 201723
10 201210
11 201281
12 200976
13 200473
14 199918
15 199567
16 199314
17 19925
18 199172
19
Monoclonal antiidiotypic antibodies related to the p97 human melanoma antigen.
198913
20 19862

About Maria Kahn

Maria Kahn is a scholar working on General Dentistry, Virology, Immunology, Modeling and Simulation and Infectious Diseases, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Methemoglobinemia and Tumor Lysis Syndrome (8 papers), Infection Control and Ventilation (7 papers), Trypanosoma species research and implications (7 papers), COVID-19 and healthcare impacts (6 papers), Hemoglobinopathies and Related Disorders (6 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Immunology (629 citations), Infectious Diseases (534 citations), Virology (86 citations), Epidemiology (433 citations) and Genetics (111 citations). Maria Kahn has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Rhea N. Coler, Steven G. Reed, Susan L. Baldwin, Sylvie Bertholet, Gregory C. Ireton, Thomas S. Vedvick, Ingegerd Hellström, Gonzalo J. Domingo, Hillarie Plessner Windish and Samuel Pine. Their work appears in journals such as Malaria Journal, American Journal of Tropical Medicine and Hygiene, PLoS ONE, Infection and Immunity and Vaccine.

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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