Miriam Postan

3.1k citations
52 papers · 2.7k · h-index 21

Impact in

  • Epidemiology top 0.5%
    • Trypanosoma species research and implications
    • T-cell and B-cell Immunology
    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses

Papers in

    • Trypanosoma species research and implications 48
    • Galectins and Cancer Biology 1
    • Mast cells and histamine 1

Miriam Postan

52 papers receiving 2.5k citations

Peers

Miriam Postan
Comparison fields: 5 of 38
  • Epidemiology 2.2k
  • Immunology 84
  • Parasitology 35
  • Aging 3
  • Biological Psychiatry 1
Replace Susana Gea with:
Susana Gea Argentina
Fernanda Fortes de Araújo Brazil
Renfu Yin China
Glaucia N R Vespa Brazil
Concepción Judith Puerta Colombia
Merete Blixenkrone-Møller Denmark
Hong‐Yin Wu United States
Cristina Poveda United States
Ruvim Izikson United States
Alexis Brooks-Walter United States
Miriam Postan relative to Susana Gea Argentina Susana Gea's profile →
Citations per field
00.5×1.5×2×2.3×
Susana Gea · 1×
Citations per year

Countries citing papers authored by Miriam Postan

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Postan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006518
2 1992293
3 2006193
4 2004172
5 1994147
6 1996143
7 2006127
8 1983118
9 200993
10 200885
11 200985
12 200869
13 198753
14 198644
15 200741
16 200339
17 201538
18 200928
19 198424
20 199723

About Miriam Postan

Miriam Postan is a scholar working on Epidemiology, Immunology, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 52 papers that have together received 2.7k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (48 papers), Galectins and Cancer Biology (1 paper), Mast cells and histamine (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Epidemiology (2.2k citations), Immunology (84 citations), Parasitology (35 citations), Aging (3 citations) and Biological Psychiatry (1 citation). Miriam Postan has collaborated with scholars based in Argentina, United States and Germany. Frequent co-authors include Rick L. Tarleton, Rodolfo J. Viotti, Bruno Lococo, Alejandro Armenti, Susana Adriana Laucella, Graciela L. Bertocchi, James A. Dvorak, James Patrick McDaniel, Maria Cecilia Albareda and Beverly H. Koller. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Frontiers in Cellular and Infection Microbiology, PLoS neglected tropical diseases, PLoS ONE and Experimental Parasitology.

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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