Daniel J. Livorsi

2.4k total citations
92 papers, 1.6k citations indexed

About

Daniel J. Livorsi is a scholar working on Applied Microbiology and Biotechnology, General Health Professions and Epidemiology. According to data from OpenAlex, Daniel J. Livorsi has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Applied Microbiology and Biotechnology, 36 papers in General Health Professions and 30 papers in Epidemiology. Recurrent topics in Daniel J. Livorsi's work include Antibiotic Use and Resistance (47 papers), Patient Satisfaction in Healthcare (32 papers) and Bacterial Identification and Susceptibility Testing (22 papers). Daniel J. Livorsi is often cited by papers focused on Antibiotic Use and Resistance (47 papers), Patient Satisfaction in Healthcare (32 papers) and Bacterial Identification and Susceptibility Testing (22 papers). Daniel J. Livorsi collaborates with scholars based in United States, Brazil and Canada. Daniel J. Livorsi's co-authors include Eli N. Perencevich, Michihiko Goto, Naasha J Talati, Melissa Osborn, Krutika Kuppalli, Marin L. Schweizer, Rajeshwari Nair, Bruce Alexander, Michael Ohl and Brett H. Heintz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Daniel J. Livorsi

84 papers receiving 1.5k citations

Peers

Daniel J. Livorsi
Comparison fields: 5 of 113
  • Infectious Diseases 576
  • Applied Microbiology and Biotechnology 494
  • Epidemiology 468
  • Public Health, Environmental and Occupational Health 338
  • Clinical Biochemistry 330
Replace Sarah K. Parker with:
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Charis Marwick United Kingdom
Michihiko Goto United States
Laraine Washer United States
Caroline Marshall Australia
Timothy C Jenkins United States
Stig Harthug Norway
Jason G. Newland United States
Sonja Hansen Germany
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Sarah K. Parker United States View profile →
Citations per field, relative to Daniel J. Livorsi
Daniel J. Livorsi · 1×
Citations per year, relative to Daniel J. Livorsi
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Countries citing papers authored by Daniel J. Livorsi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Livorsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Livorsi. 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 Daniel J. Livorsi. The network helps show where Daniel J. Livorsi may publish in the future.

Co-authorship network of co-authors of Daniel J. Livorsi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Livorsi. A scholar is included among the top collaborators of Daniel J. Livorsi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Livorsi. Daniel J. Livorsi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 1
4 0
5 8
6 13
7 1
8 6
9 1
10 1
11 7
12 2
13 2
14 7
15 28
16 4
17 3
18 28
19 90
20 5

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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