Michael T. Leininger

556 total citations
9 papers, 248 citations indexed

About

Michael T. Leininger is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Michael T. Leininger has authored 9 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Epidemiology. Recurrent topics in Michael T. Leininger's work include Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Adenosine and Purinergic Signaling (1 paper). Michael T. Leininger is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Adenosine and Purinergic Signaling (1 paper). Michael T. Leininger collaborates with scholars based in United States. Michael T. Leininger's co-authors include Carla Portocarrero, Karen L. Houseknecht, Richard R. Renkiewicz, James L. Mobley, Steven J. Madore, Jakob N. Nielsen, C. A. Bidwell, A. P. Schinckel, Christopher A. Bidwell and Michael E. Spurlock and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Tetrahedron Letters.

In The Last Decade

Michael T. Leininger

9 papers receiving 237 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael T. Leininger United States	9	70	61	34	32	28	9	248
Sally S. Seaver United States	9	200 2.9×	34 0.6×	23 0.7×	33 1.0×	22 0.8×	17	362
Hiroshi Ogihara Japan	3	79 1.1×	14 0.2×	25 0.7×	13 0.4×	32 1.1×	7	326
Marie Ståhlberg Sweden	6	147 2.1×	40 0.7×	18 0.5×	40 1.3×	7 0.3×	7	340
Gun Kang South Korea	9	175 2.5×	96 1.6×	94 2.8×	8 0.3×	11 0.4×	16	363
Erli You China	8	155 2.2×	38 0.6×	15 0.4×	16 0.5×	9 0.3×	11	329
Michael Vicchiarelli United States	10	121 1.7×	38 0.6×	64 1.9×	57 1.8×	18 0.6×	17	349
Norma Lister United Kingdom	9	115 1.6×	8 0.1×	13 0.4×	37 1.2×	23 0.8×	10	373
Robert M. Wilson United States	10	141 2.0×	18 0.3×	38 1.1×	62 1.9×	5 0.2×	19	363
Do Won Hahn United States	13	57 0.8×	71 1.2×	23 0.7×	99 3.1×	3 0.1×	23	398

Countries citing papers authored by Michael T. Leininger

Since Specialization

Citations

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

Fields of papers citing papers by Michael T. Leininger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael T. Leininger

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

All Works

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9 of 9 papers shown

Maurer, Tristan S., Avijit Ghosh, Nahor Haddish‐Berhane, et al.. (2011). Pharmacodynamic Model of Sodium–Glucose Transporter 2 (SGLT2) Inhibition: Implications for Quantitative Translational Pharmacology. The AAPS Journal. 13(4). 576–584. 28 indexed citations

Enayetallah, Ahmed, Daniel Ziemek, Michael T. Leininger, et al.. (2011). Modeling the Mechanism of Action of a DGAT1 Inhibitor Using a Causal Reasoning Platform. PLoS ONE. 6(11). e27009–e27009. 19 indexed citations

Mascitti, Vincent, Ralph P. Robinson, Cathy Préville, et al.. (2010). Syntheses of C-5-spirocyclic C-glycoside SGLT2 inhibitors. Tetrahedron Letters. 51(14). 1880–1883. 12 indexed citations

Pfefferkorn, Jeffrey A., Chulho Choi, Robert M. Kennedy, et al.. (2008). P2Y1 receptor antagonists as novel antithrombotic agents. Bioorganic & Medicinal Chemistry Letters. 18(11). 3338–3343. 39 indexed citations

Mobley, James L., et al.. (2007). Genetic Evidence of a Functional Monocyte Dichotomy. Inflammation. 30(6). 189–197. 48 indexed citations

Leininger, Michael T., Carla Portocarrero, Christopher A. Bidwell, Michael E. Spurlock, & Karen L. Houseknecht. (2000). Leptin Expression Is Reduced with Acute Endotoxemia in the Pig: Correlation with Glucose, Insulin, and Insulin-like Growth Factor-1 (IGF-1). Journal of Interferon & Cytokine Research. 20(1). 99–106. 21 indexed citations

Leininger, Michael T., et al.. (2000). Physiological response to acute endotoxemia in swine: effect of genotype on energy metabolites and leptin☆. Domestic Animal Endocrinology. 18(1). 71–82. 41 indexed citations

Leininger, Michael T., Carla Portocarrero, & Karen L. Houseknecht. (1999). Peroxisome Proliferator-Activated Receptor γ1 Expression in Porcine White Blood Cells: Dynamic Regulation with Acute Endotoxemia. Biochemical and Biophysical Research Communications. 263(3). 749–753. 19 indexed citations

Brod, Harry, et al.. (1995). The Masculine Masquerade : Masculinity and Representation. MIT Press eBooks. 21 indexed citations

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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