Eva Lorenz

73 papers receiving 5.6k citations

Hit Papers

Toll-like Receptor 4 Polymorphisms and Atherogenesis 2002 · 820 citations
820200020262008201750010001.5k

Peers

Eva Lorenz
Comparison fields: 5 of 150
  • Immunology 3.3k
  • Microbiology 469
  • Epidemiology 1.8k
  • Emergency Medical Services 358
  • Infectious Diseases 443
Replace Mustapha Si‐Tahar with:
Mustapha Si‐Tahar France
Steve Nelson United States
Sylvia Knapp Austria
Alexander H. Dalpke Germany
Catherine Fitting France
Ian Sabroe United Kingdom
Bernd Schmeck Germany
Robert S. Munford United States
Rachel M. McLoughlin Ireland
Robert Sabat Germany
Eva Lorenz relative to Mustapha Si‐Tahar France Mustapha Si‐Tahar's profile →
Citations per field
00.5×1.6×
Mustapha Si‐Tahar · 1×
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 74 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 →
20001613
2
Toll-like Receptor 4 Polymorphisms and Atherogenesis
Hit paper breakdown →
2002820
3
Relevance of Mutations in the TLR4 Receptor in Patients With Gram-Negative Septic Shock
Hit paper breakdown →
2002561
4 2000468
5 2006194
6 2002169
7 2001164
8 1999150
9 2007146
10 1998103
11 200888
12 200186
13 199869
14 201766
15 199965
16 201065
17 200165
18 200654
19 200451
20 200250

About Eva Lorenz

Eva Lorenz is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation, Immunology, Statistics and Probability and Endocrinology, having authored 74 papers that have together received 5.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (18 papers), Global Maternal and Child Health (10 papers), Neonatal Respiratory Health Research (7 papers), Bacterial Genetics and Biotechnology (6 papers), Malaria Research and Control (6 papers), Statistical Methods in Clinical Trials (5 papers), RNA and protein synthesis mechanisms (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Immunology (3.3k citations), Microbiology (469 citations), Epidemiology (1.8k citations), Emergency Medical Services (358 citations) and Infectious Diseases (443 citations). Eva Lorenz has collaborated with scholars based in Germany, United States and Ghana. Frequent co-authors include David A. Schwartz, Nancy C. Arbour, Jean Paul Mira, Kathy L. Frees, Michael Jones, Janet L. Watt, Kathy Frees, Joseph Zabner, Joel N. Kline and Brian C. Schutte. Their work appears in journals such as Infection and Immunity, Scientific Reports, Infectious Diseases of Poverty, Journal of Medical Microbiology and Malaria Journal.

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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