Michelle Trusgnich

542 total citations
11 papers, 349 citations indexed

About

Michelle Trusgnich is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Michelle Trusgnich has authored 11 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Molecular Biology and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Michelle Trusgnich's work include Neonatal Respiratory Health Research (5 papers), Neuroscience of respiration and sleep (4 papers) and CRISPR and Genetic Engineering (2 papers). Michelle Trusgnich is often cited by papers focused on Neonatal Respiratory Health Research (5 papers), Neuroscience of respiration and sleep (4 papers) and CRISPR and Genetic Engineering (2 papers). Michelle Trusgnich collaborates with scholars based in United States, South Africa and Ireland. Michelle Trusgnich's co-authors include F. Sessions Cole, Aaron Hamvas, Lawrence M. Nogee, Daniel Wegner, Serena L. Cole, Elena Gracheva, Robert W. Karr, Sandra E. Wiley, Hillary B. Heins and William Graham McDonald and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PEDIATRICS.

In The Last Decade

Michelle Trusgnich

11 papers receiving 335 citations

Peers

Michelle Trusgnich

MB

PRM

EAS

SURGE

GENET

Tohru Kanzaki Japan

Moshood Olatinwo United States

Giusy Messina Italy

Sherri A. Profitt United States

Joel K. Campbell United States

Sheng-Hsiung Sheu Taiwan

Elizabeth Odstrcil United States

A. Phylactos United Kingdom

Tito T. Jesus Portugal

Alan J. Winters United States

Tohru Kanzaki Japan

Michelle Trusgnich

72 ×0.5

MB

45 ×0.4

PRM

127 ×1.8

EAS

55 ×0.8

SURGE

46 ×1.0

GENET

Citations per year, relative to Michelle Trusgnich Michelle Trusgnich (= 1×) peers Tohru Kanzaki

Countries citing papers authored by Michelle Trusgnich

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Trusgnich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Trusgnich

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

All Works

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11 of 11 papers shown

1.

Colca, Jerry R., William Graham McDonald, Serena L. Cole, et al.. (2013). Identification of a Mitochondrial Target of Thiazolidinedione Insulin Sensitizers (mTOT)—Relationship to Newly Identified Mitochondrial Pyruvate Carrier Proteins. PLoS ONE. 8(5). e61551–e61551. 130 indexed citations

2.

Hamvas, Aaron, Hillary B. Heins, Susan H. Guttentag, et al.. (2008). Developmental and Genetic Regulation of Human Surfactant Protein B in vivo. Neonatology. 95(2). 117–124. 18 indexed citations

3.

Wegner, Daniel, Christopher S. Carlson, Jennifer Wambach, et al.. (2008). Recombination as a mechanism for sporadic mutation in the surfactant protein‐C gene. Pediatric Pulmonology. 43(5). 443–450. 8 indexed citations

4.

Hamvas, Aaron, Daniel Wegner, Christopher S. Carlson, et al.. (2007). Comprehensive Genetic Variant Discovery in the Surfactant Protein B Gene. Pediatric Research. 62(2). 170–175. 11 indexed citations

5.

Hamvas, Aaron, Daniel Wegner, Michelle Trusgnich, et al.. (2005). Genetic variant characterization in intron 4 of the surfactant protein B gene. Human Mutation. 26(5). 494–495. 11 indexed citations

6.

Hamvas, Aaron, Lawrence M. Nogee, Michelle Trusgnich, et al.. (2004). Informed Consent for Genetic Research. Archives of Pediatrics and Adolescent Medicine. 158(6). 551–551. 27 indexed citations

7.

Hamvas, Aaron, et al.. (2001). Population-Based Screening for Rare Mutations: High-Throughput DNA Extraction and Molecular Amplification from Guthrie Cards. Pediatric Research. 50(5). 666–668. 40 indexed citations

8.

Cole, F. Sessions, Aaron Hamvas, Pablo Rubinstein, et al.. (2000). Population-Based Estimates of Surfactant Protein B Deficiency. PEDIATRICS. 105(3). 538–541. 55 indexed citations

9.

Nagaraja, Ramaiah, et al.. (1998). YAC/STS map of 15Mb of Xp21.3-p11.3, at 100kb resolution, with refined comparisons of genetic distances and DMD structure. Gene. 215(2). 259–267. 4 indexed citations

10.

Ried, Karin, Annelyse Mertz, Ramaiah Nagaraja, et al.. (1995). Characterization of a YAC Contig Spanning the Pseudoautosomal Region. Genomics. 29(3). 787–792. 20 indexed citations

11.

Nagaraja, Ramaiah, Juha Kere, Sandra MacMillan, et al.. (1994). Characterization of four human YAC libraries for clone size, chimerism and X chromosome sequence representation. Nucleic Acids Research. 22(16). 3406–3411. 25 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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