Fred D. Lott

416 citations
20 papers · 342 · h-index 9

Impact in

    • Advanced Drug Delivery Systems
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

Fred D. Lott

19 papers receiving 320 citations

Peers

Fred D. Lott
Comparison fields: 5 of 73
  • Pharmaceutical Science 34
  • Immunology 101
  • Pulmonary and Respiratory Medicine 105
  • Oncology 77
  • Physiology 41
Replace Na Hao with:
Na Hao China
W Łaszewicz Poland
Bryan E. Lukie Canada
Ashley Milton United States
Xundou Li China
Edward C. Gomez United States
Alan Clucas France
Karel J. Lambert United States
Hisayuki Masuda Japan
Nobuo Sato Japan
Fred D. Lott relative to Na Hao China Na Hao's profile →
Citations per field
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Na Hao · 1×
Citations per year

Countries citing papers authored by Fred D. Lott

Since Specialization
Citations

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

Fields of papers citing papers by Fred D. Lott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006134
2 199447
3 199337
4 198918
5 200917
6 199416
7 200615
8 198613
9 19859
10 19848
11 20086
12 19825
13 19984
14 19873
15 19873
16 19943
17 19902
18 19881
19 19941
20
Evaluation of a Methodology for the Reverse Engineering and Parallelization of Sequential Code
19990

About Fred D. Lott

Fred D. Lott is a scholar working on Pharmacology, Pulmonary and Respiratory Medicine, Biochemistry, Physiology and Molecular Biology, having authored 20 papers that have together received 342 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (6 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Asthma and respiratory diseases (4 papers), Inhalation and Respiratory Drug Delivery (3 papers), Cardiac Ischemia and Reperfusion (2 papers), Neonatal Respiratory Health Research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Pharmaceutical Science (34 citations), Immunology (101 citations), Pulmonary and Respiratory Medicine (105 citations), Oncology (77 citations) and Physiology (41 citations). Fred D. Lott has collaborated with scholars based in United States. Frequent co-authors include Ralph W. Niven, Michael R. Littner, Carole Kurahara, Chen Dong, Hilary Chute, Andrew A. Welcher, Ning Sun, Yongliang Zhang, Yeonseok Chung and Christopher F. Toombs. Their work appears in journals such as Journal of Applied Physiology, Pharmaceutical Research, Prostaglandins Leukotrienes and Essential Fatty Acids, Journal of Pharmacology and Experimental Therapeutics and American Journal of Respiratory and Critical Care Medicine.

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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