Erwin Schurr

12.8k citations
195 papers · 9.7k · 3 hit papers · h-index 52

Impact in

    • Tuberculosis Research and Epidemiology
    • Leprosy Research and Treatment
  • Immunology top 1%
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction

Papers in

Erwin Schurr

189 papers receiving 9.4k citations

Erwin Schurr's Hit Papers

Whole-genome sequencing reveals host factors underlying critical COVID-19 2022 · 228 citations
2280+9+18Years since publication250500750

Peers

Erwin Schurr
Comparison fields: 5 of 162
  • Infectious Diseases 4.6k
  • Immunology 2.1k
  • Epidemiology 3.0k
  • Virology 219
  • Genetics 986
Replace Vanessa Sancho‐Shimizu with:
Vanessa Sancho‐Shimizu United Kingdom
John Chan United States
Euzenir Nunes Sarno Brazil
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Michael R. Wilson United States
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Anavaj Sakuntabhai France
Heinz G. Remold United States
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Citations per field
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Citations per year

Countries citing papers authored by Erwin Schurr

Since Specialization
Citations

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

Fields of papers citing papers by Erwin Schurr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dysferlin, a novel skeletal muscle gene, is mutated in Miyoshi myopathy and limb girdle muscular dystrophy
Hit paper breakdown →
1998754
2
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021641
3 2004380
4 1989282
5 2018246
6 1998241
7 1994237
8
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
9 1994224
10 2004220
11 2000171
12 2003156
13 2010152
14 2014148
15 2009141
16 2007138
17 1998123
18 2017112
19 2022107
20 2005104

About Erwin Schurr

Erwin Schurr is a scholar working on Infectious Diseases, Epidemiology, Immunology, Genetics and Virology, having authored 195 papers that have together received 9.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (84 papers), Mycobacterium research and diagnosis (75 papers), Leprosy Research and Treatment (48 papers), Immunodeficiency and Autoimmune Disorders (17 papers), Infectious Diseases and Tuberculosis (14 papers), Immune Cell Function and Interaction (10 papers), interferon and immune responses (10 papers) and RNA and protein synthesis mechanisms (10 papers). The work is most often cited by research in Infectious Diseases (4.6k citations), Immunology (2.1k citations), Epidemiology (3.0k citations), Virology (219 citations) and Genetics (986 citations). Erwin Schurr has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Laurent Abel, Alexandre Alcaïs, Philippe Gros, Emil Skamene, Piet Gros, Marianna O. Orlova, Nguyen Van Thuc, Marie Azzaria, Jean-Laurent Casanova and Vu Hong Thai. Their work appears in journals such as The Journal of Infectious Diseases, Genomics, Human Genetics, PLoS Pathogens and Genes and Immunity.

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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