M S Giancola

468 total citations
9 papers, 391 citations indexed

About

M S Giancola is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, M S Giancola has authored 9 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 1 paper in Molecular Biology and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in M S Giancola's work include Inhalation and Respiratory Drug Delivery (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). M S Giancola is often cited by papers focused on Inhalation and Respiratory Drug Delivery (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). M S Giancola collaborates with scholars based in United States and Netherlands. M S Giancola's co-authors include Gerald S. Davis, R B Low, Michael C. Costanza, Kenneth R. Cutroneo, Pamela M. Vacek, Robert B. Low, Talmadge E. King, Roy E. Wuthier, Frank H. Wians and Kenneth B. Adler and has published in prestigious journals such as Biochemistry, Thorax and Experimental Lung Research.

In The Last Decade

M S Giancola

9 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M S Giancola United States 8 281 58 45 36 36 9 391
Catherine Frette France 8 146 0.5× 116 2.0× 19 0.4× 36 1.0× 31 0.9× 12 308
Leah R. Villegas United States 9 163 0.6× 50 0.9× 20 0.4× 121 3.4× 53 1.5× 14 350
F. Ioli Italy 6 331 1.2× 177 3.1× 33 0.7× 112 3.1× 18 0.5× 16 523
Timothy Leclair United States 7 247 0.9× 73 1.3× 8 0.2× 34 0.9× 21 0.6× 9 333
M Warwick United Kingdom 9 174 0.6× 90 1.6× 36 0.8× 11 0.3× 62 1.7× 15 323
J Brock United Kingdom 8 67 0.2× 34 0.6× 18 0.4× 113 3.1× 25 0.7× 9 404
Takafumi Kato Japan 11 289 1.0× 73 1.3× 17 0.4× 126 3.5× 67 1.9× 29 521
L Sánchez-Medal Mexico 13 56 0.2× 83 1.4× 35 0.8× 38 1.1× 20 0.6× 25 531
B. A. Holm United States 12 563 2.0× 42 0.7× 13 0.3× 65 1.8× 27 0.8× 13 684
Barbara Piras Italy 10 148 0.5× 107 1.8× 11 0.2× 35 1.0× 75 2.1× 18 313

Countries citing papers authored by M S Giancola

Since Specialization
Citations

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

Fields of papers citing papers by M S Giancola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M S Giancola. 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 M S Giancola. The network helps show where M S Giancola may publish in the future.

Co-authorship network of co-authors of M S Giancola

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

All Works

9 of 9 papers shown
1.
Janssen, Yvonne M. W., J.J.M. Engelen, M S Giancola, et al.. (1992). Serum Type III Procollagen N-Terminal Peptide in Coal Miners. Experimental Lung Research. 18(1). 1–8. 11 indexed citations
2.
Low, Robert B., et al.. (1992). Serum and Bronchoalveolar Lavage of N-Terminal Type III Procollagen Peptides in Idiopathic Pulmonary Fibrosis. American Review of Respiratory Disease. 146(3). 701–706. 41 indexed citations
3.
Low, R B, Kevin O. Leslie, David R. Hemenway, et al.. (1990). Alveolar type II cell response in rats exposed to aerosols of alpha-cristobalite.. PubMed. 136(4). 923–31. 5 indexed citations
4.
Low, Robert B., Kenneth B. Adler, Janet Woodcock‐Mitchell, M S Giancola, & Pamela M. Vacek. (1988). Bronchoalveolar Lavage Lipids during Development of Bleomycin-induced Fibrosis in Rats: Relationship to Altered Epithelial Cell Morphology. American Review of Respiratory Disease. 138(3). 709–713. 18 indexed citations
5.
Low, R B, Gerald S. Davis, D Y Bell, M S Giancola, & Pamela M. Vacek. (1987). Lipids in bronchoalveolar lavage fluid from patients with sarcoidosis.. Thorax. 42(12). 926–932. 15 indexed citations
6.
Low, R B, Kenneth R. Cutroneo, Gerald S. Davis, & M S Giancola. (1983). Lavage type III procollagen N-terminal peptides in human pulmonary fibrosis and sarcoidosis.. PubMed. 48(6). 755–9. 87 indexed citations
7.
Davis, Gerald S., M S Giancola, Michael C. Costanza, & R B Low. (1982). Analyses of sequential bronchoalveolar lavage samples from healthy human volunteers.. PubMed. 126(4). 611–6. 97 indexed citations
8.
Low, R B, Gerald S. Davis, & M S Giancola. (1978). Biochemical analyses of bronchoalveolar lavage fluids of healthy human volunteer smokers and nonsmokers.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 118(5). 863–75. 96 indexed citations
9.
Wuthier, Roy E., et al.. (1978). In vitro biosynthesis of phospholipids by chondrocytes and matrix vesicles of epiphyseal cartilage. Biochemistry. 17(8). 1431–1436. 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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