T. J. Lott

469 citations
18 papers · 382 indexed · h-index 9
Topics
Antifungal resistance and susceptibility (7 papers)Pneumocystis jirovecii pneumonia detection and treatment (5 papers)Fungal Infections and Studies (4 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

T. J. Lott

16 papers receiving 353 citations

Peers

T. J. Lott
Comparison fields: 5 of 80
  • Infectious Diseases 247
  • Epidemiology 200
  • Molecular Biology 85
  • Cell Biology 68
  • Plant Science 53
Replace Michael A. Petrou with:
Michael A. Petrou United Kingdom
B. H. Cooper United States
Salma Abbes Tunisia
Xuelin Han China
M. A. Piens France
Ay Huey Huang Taiwan
Chayanika Biswas Australia
A. Fathallah Tunisia
J. L. Finquelievich Argentina
W. R. Pruitt United States
T. J. Lott relative to Michael A. Petrou United Kingdom Michael A. Petrou's profile →
Citations per field
00.5×2.9×
Michael A. Petrou · 1×
Citations per year

Countries citing papers authored by T. J. Lott

Since Specialization
Citations

This map shows the geographic impact of T. J. Lott'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 T. J. Lott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Lott more than expected).

Fields of papers citing papers by T. J. Lott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. J. Lott

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Lott. A scholar is included among the top collaborators of T. J. Lott 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 T. J. Lott. T. J. Lott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 28
2 13
3 27
4 7
5
RAPID IDENTIFICATION OF CANDIDAS PESIES WITH SPESIES-SPECIFIC DNA PROBES
1
6
The Scent of Dried Roses
9
7 135
8 6
9 5
10 61
11 4
12 44
13 1
14 8
15 8
16 1
17 17
18 7

About T. J. Lott

T. J. Lott is a scholar working on Infectious Diseases, Epidemiology and Periodontics, having authored 18 papers that have together received 382 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers) and Fungal Infections and Studies (4 papers). The work is most often cited by research in Infectious Diseases (247 citations), Epidemiology (200 citations) and Endocrinology (28 citations). T. J. Lott has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Errol Reiss, Brent A. Lasker, Christine J. Morrison, Shin‐ichi Fujita, A. D. Sawant, Sally A. Meyer, Donald G. Ahearn, J M Benson, Patrick Boiron and Jim Clark. Their work appears in journals such as Nucleic Acids Research, Clinical Infectious Diseases and Journal of Clinical 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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