Therese Starr

21 papers receiving 734 citations

Peers

Therese Starr
Comparison fields: 5 of 68
  • Applied Microbiology and Biotechnology 185
  • Molecular Medicine 204
  • Pharmacology 513
  • Nephrology 97
  • Epidemiology 338
Replace Janattul‐Ain Jamal with:
Janattul‐Ain Jamal Australia
Janine Stuart Australia
Melissa Lassig‐Smith Australia
Isabelle Delattre Belgium
Julie Varghese Australia
Thierry Seguin France
Christina Scharf Germany
Jeffrey J. Cies United States
João Gonçalves-Pereira Portugal
Stéphanie Ruiz France
Therese Starr relative to Janattul‐Ain Jamal Australia Janattul‐Ain Jamal's profile →
Citations per field
00.5×2.9×
Janattul‐Ain Jamal · 1×
Citations per year

Countries citing papers authored by Therese Starr

Since Specialization
Citations

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

Fields of papers citing papers by Therese Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015167
2 201763
3 201459
4 201652
5 201944
6 201342
7 201642
8 201637
9 201637
10 201935
11 201929
12 201927
13 201820
14 201619
15 202018
16 201315
17 201913
18 20187
19 20227
20 20227

About Therese Starr

Therese Starr is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Pharmacology, Nephrology and Critical Care and Intensive Care Medicine, having authored 23 papers that have together received 746 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (17 papers), Antibiotic Resistance in Bacteria (8 papers), Pneumonia and Respiratory Infections (6 papers), Antibiotic Use and Resistance (5 papers), Antifungal resistance and susceptibility (4 papers), Acute Kidney Injury Research (3 papers), Analytical Methods in Pharmaceuticals (2 papers) and Renal function and acid-base balance (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (185 citations), Molecular Medicine (204 citations), Pharmacology (513 citations), Nephrology (97 citations) and Epidemiology (338 citations). Therese Starr has collaborated with scholars based in Australia, France and Hong Kong. Frequent co-authors include Jeffrey Lipman, Jason A. Roberts, Janine Stuart, Melissa Lassig‐Smith, Steven C. Wallis, Paul Jarrett, Andrew Udy, Joel M. Dulhunty, David L. Paterson and Fekade B. Sime. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Critical Care, Critical Care and Resuscitation, International Journal of Antimicrobial Agents and Analytical and Bioanalytical 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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