Maria Lerm

3.8k citations
76 papers · 2.9k · 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

Maria Lerm

74 papers receiving 2.9k citations

Peers

Maria Lerm
Comparison fields: 5 of 119
  • Immunology 993
  • Infectious Diseases 831
  • Endocrinology 156
  • Microbiology 158
  • Epidemiology 586
Replace Robin M. Yates with:
Robin M. Yates Canada
Geanncarlo Lugo‐Villarino France
Avinash R. Shenoy United Kingdom
Norbert Reiling Germany
Oliver Goldmann Germany
Ashok Kumar United States
Sohkichi Matsumoto Japan
Mizuho Hasegawa United States
Tessa Bergsbaken United States
Constantin F. Urban Sweden
Maria Lerm relative to Robin M. Yates Canada Robin M. Yates's profile →
Citations per field
00.5×1.5×
Robin M. Yates · 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

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015220
2 1999153
3 2009139
4 1998138
5 2012125
6 2011108
7 2017105
8 2008101
9 200897
10 201296
11 201975
12 200073
13 200270
14 201167
15 201163
16 201859
17 199953
18 201949
19 201348
20 199948

About Maria Lerm

Maria Lerm is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Epidemiology and Surgery, having authored 76 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (32 papers), Immune responses and vaccinations (14 papers), Mycobacterium research and diagnosis (10 papers), Inflammasome and immune disorders (9 papers), Epigenetics and DNA Methylation (7 papers), Phagocytosis and Immune Regulation (7 papers), Immune cells in cancer (5 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Immunology (993 citations), Infectious Diseases (831 citations), Endocrinology (156 citations), Microbiology (158 citations) and Epidemiology (586 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 Mihai G. Netea. Their work appears in journals such as Journal of Internal Medicine, PLoS ONE, Infection and Immunity, Scientific Reports 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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