Eva Lorenz

7.1k citations
77 papers · 5.9k · 1 hit paper · h-index 27

Impact in

  • Immunology top 0.5%
    • Immune Response and Inflammation
    • Atherosclerosis and Cardiovascular Diseases
    • Sepsis Diagnosis and Treatment
    • Respiratory viral infections research

Papers in

Eva Lorenz

73 papers receiving 5.7k citations

Eva Lorenz's Hit Papers

TLR4 mutations are associated with endotoxin hyporesponsiveness in humans 2000 · 1.7k citations
1.7k0+8+17Years since publication5001k1.5k

Peers

Eva Lorenz
Comparison fields: 5 of 138
  • Immunology 2.4k
  • Epidemiology 885
  • Microbiology 134
  • Genetics 557
  • Applied Microbiology and Biotechnology 39
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Eva Lorenz relative to Steve Nelson United States Steve Nelson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eva Lorenz

Since Specialization
Citations

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

Fields of papers citing papers by Eva Lorenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TLR4 mutations are associated with endotoxin hyporesponsiveness in humans
Hit paper breakdown →
20001726
2 2002885
3 2002606
4 2000508
5 2006201
6 2002179
7 2001167
8 2007157
9 200196
10 200895
11 199877
12 200171
13 201771
14 201067
15 200655
16 200454
17 200251
18 200346
19 201646
20 201845

About Eva Lorenz

Eva Lorenz is a scholar working on Parasitology, Immunology, Statistics and Probability, Modeling and Simulation and Infectious Diseases, having authored 77 papers that have together received 5.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (14 papers), Parasites and Host Interactions (9 papers), Malaria Research and Control (7 papers), Statistical Methods in Epidemiology (5 papers), Bacterial Genetics and Biotechnology (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (4 papers) and Antibiotic Use and Resistance (2 papers). The work is most often cited by research in Immunology (2.4k citations), Epidemiology (885 citations), Microbiology (134 citations), Genetics (557 citations) and Applied Microbiology and Biotechnology (39 citations). Eva Lorenz has collaborated with scholars based in Germany, United States and Ghana. Frequent co-authors include David A. Schwartz, Kathy L. Frees, Nancy C. Arbour, Jean‐Paul Mira, Michael Jones, Brian C. Schutte, Joseph Zabner, Joel N. Kline, Janet L. Watt and Markus Reindl. Their work appears in journals such as Infection and Immunity, Scientific Reports, Infectious Diseases of Poverty, BMC Public Health and Journal of Medical Microbiology.

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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