David R. Lorenz

2.3k citations
38 papers · 1.7k indexed · 1 hit paper · h-index 18

David R. Lorenz

37 papers receiving 1.7k citations

Hit Papers

Inferring Genetic Networks and Identifying Compound Mode ...8102003202620102018250500750

Peers

David R. Lorenz
Comparison fields: 5 of 125
  • Virology 211
  • Aging 32
  • Molecular Biology 1.1k
  • Emergency Medicine 128
  • Biological Psychiatry 26
Replace Jason F. Kreisberg with:
Jason F. Kreisberg United States
Jishnu Das United States
Francisco S. Domingues Germany
Anthony T. Fojo United States
Jiyao Wang China
Matthew R. Reynolds United States
Yōichirō Takahashi Japan
Σοφία Κοσσίδα Greece
Wolfgang M. Schmidt Austria
Thomas J. Carr United States
David R. Lorenz relative to Jason F. Kreisberg United States Jason F. Kreisberg's profile →
Citations per field
00.5×1.5×1.9×
Jason F. Kreisberg · 1×
Citations per year

Countries citing papers authored by David R. Lorenz

Since Specialization
Citations

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

Fields of papers citing papers by David R. Lorenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202112
2 202112
3 202041
4 201926
5 20186
6 201813
7 2018117
8 201844
9 201849
10 20179
11 201710
12 20177
13 201744
14 201627
15 201430
16 201423
17 20137
18 200314
19 200144
20 19781

About David R. Lorenz

David R. Lorenz is a scholar working on Virology, Biological Psychiatry and Emergency Medicine, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), HIV-related health complications and treatments (7 papers), HIV/AIDS Research and Interventions (7 papers), Viral-associated cancers and disorders (4 papers), Extracellular vesicles in disease (4 papers), Metal complexes synthesis and properties (4 papers), Inorganic and Organometallic Chemistry (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Virology (211 citations), Aging (32 citations) and Molecular Biology (1.1k citations). David R. Lorenz has collaborated with scholars based in United States, South Africa and Italy. Frequent co-authors include James J. Collins, Timothy S. Gardner, Diego di Bernardo, Dana Gabuzda, Vikas Misra, Susan Morgello, Sukrutha Chettimada, Shibani S. Mukerji, John R. Wasson and Hajime Uno. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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