Maria Lerm

3.7k citations
74 papers · 2.9k indexed · h-index 34

Impact in

  • Immunology top 2%
    • Immune responses and vaccinations
    • Immune Response and Inflammation
    • Immune cells in cancer
    • interferon and immune responses
    • Tuberculosis Research and Epidemiology

Papers in

    • Tuberculosis Research and Epidemiology 34
    • Immune responses and vaccinations 15
    • Phagocytosis and Immune Regulation 8
    • Immunodeficiency and Autoimmune Disorders 7
    • Immune cells in cancer 5

Maria Lerm

73 papers receiving 2.8k citations

Peers

Maria Lerm
Comparison fields: 5 of 120
  • Immunology 1.1k
  • Infectious Diseases 875
  • Endocrinology 160
  • Microbiology 156
  • Molecular Biology 1.3k
Replace C. Ladel with:
C. Ladel Germany
Mary O’Riordan United States
Geanncarlo Lugo‐Villarino France
Avinash R. Shenoy United Kingdom
Oliver Goldmann Germany
Sohkichi Matsumoto Japan
Ashok Kumar United States
Kol A. Zarember United States
Christopher C. Dascher United States
Tessa Bergsbaken United States
Maria Lerm relative to C. Ladel Germany C. Ladel's profile →
Citations per field
00.5×1.5×
C. Ladel · 1×
Citations per year

Countries citing papers authored by Maria Lerm

Since Specialization
Citations

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

Fields of papers citing papers by Maria Lerm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202320
3 20230
4 20227
5 202120
6 202112
7 20204
8 202012
9 201971
10 201921
11 20181
12 20182
13 201859
14 2015217
15 201440
16 20132
17 20137
18 201345
19 200843
20 200844

About Maria Lerm

Maria Lerm is a scholar working on Infectious Diseases, Immunology, Epidemiology, Obstetrics and Gynecology and Molecular Biology, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (34 papers), Immune responses and vaccinations (15 papers), Mycobacterium research and diagnosis (14 papers), Inflammasome and immune disorders (9 papers), Phagocytosis and Immune Regulation (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Epigenetics and DNA Methylation (6 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Immunology (1.1k citations), Infectious Diseases (875 citations), Endocrinology (160 citations), Microbiology (156 citations) and Molecular Biology (1.3k citations). Maria Lerm has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Klaus Aktories, Gudula Schmidt, Amanda Welin, Olle Stendahl, Deepti Verma, Eva Särndahl, Daniel Eklund, Johanna Raffetseder, Peter Söderkvist and Venkata Ramanarao Parasa. Their work appears in journals such as Journal of Internal Medicine, PLoS ONE, Scientific Reports, Infection and Immunity and Tuberculosis.

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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