Michael Gambill

611 total citations
5 papers, 493 citations indexed

About

Michael Gambill is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Michael Gambill has authored 5 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Michael Gambill's work include Cardiac Fibrosis and Remodeling (4 papers), Signaling Pathways in Disease (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Michael Gambill is often cited by papers focused on Cardiac Fibrosis and Remodeling (4 papers), Signaling Pathways in Disease (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Michael Gambill collaborates with scholars based in United States and Italy. Michael Gambill's co-authors include Ryan Melchior, Benjamín W. Van Tassell, Claudia Oddi, Charles A. Dinarello, Nayef Abouzaki, Antonio Abbate, Giuseppe Biondi‐Zoccai, Michael C. Kontos, George W. Vetrovec and Charlotte S. Roberts and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Molecular Medicine.

In The Last Decade

Michael Gambill

5 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Gambill United States	4	278	246	151	123	97	5	493
George Mueller United States	3	260 0.9×	233 0.9×	145 1.0×	117 1.0×	92 0.9×	5	453
Roshanak Robati United States	5	315 1.1×	296 1.2×	137 0.9×	142 1.2×	86 0.9×	6	535
Claudia Oddi United States	5	347 1.2×	422 1.7×	182 1.2×	157 1.3×	111 1.1×	6	713
Ryan Melchior United States	7	378 1.4×	351 1.4×	232 1.5×	163 1.3×	124 1.3×	9	708
Ola Kleveland Norway	9	201 0.7×	200 0.8×	229 1.5×	106 0.9×	131 1.4×	15	498
Hirotaka Kimura Japan	10	171 0.6×	141 0.6×	159 1.1×	145 1.2×	142 1.5×	19	558
Jeffrey R. Crawford United States	10	150 0.5×	164 0.7×	77 0.5×	83 0.7×	52 0.5×	11	439
Cord Manhenke Norway	14	162 0.6×	551 2.2×	97 0.6×	205 1.7×	51 0.5×	19	764
Jean‐Frédéric Boyer France	10	109 0.4×	64 0.3×	181 1.2×	37 0.3×	47 0.5×	15	553
Vanessa Arrieta Spain	13	113 0.4×	177 0.7×	135 0.9×	88 0.7×	45 0.5×	19	382

Countries citing papers authored by Michael Gambill

Since Specialization

Citations

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

Fields of papers citing papers by Michael Gambill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gambill

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

Abbate, Antonio, Michael C. Kontos, Nayef Abouzaki, et al.. (2014). Comparative Safety of Interleukin-1 Blockade With Anakinra in Patients With ST-Segment Elevation Acute Myocardial Infarction (from the VCU-ART and VCU-ART2 Pilot Studies). The American Journal of Cardiology. 115(3). 288–292. 132 indexed citations

Sonnino, Chiara, Sanah Christopher, Claudia Oddi, et al.. (2014). Leukocyte Activity in Patients with ST-Segment Elevation Acute Myocardial Infarction Treated with Anakinra. Molecular Medicine. 20(1). 486–489. 12 indexed citations

Abbate, Antonio, Benjamín W. Van Tassell, Sanah Christopher, et al.. (2014). Effects of Prolastin C (Plasma-Derived Alpha-1 Antitrypsin) on the Acute Inflammatory Response in Patients With ST-Segment Elevation Myocardial Infarction (from the VCU-Alpha 1-RT Pilot Study). The American Journal of Cardiology. 115(1). 8–12. 41 indexed citations

Abbate, Antonio, Benjamín Van Tassell, Giuseppe Biondi‐Zoccai, et al.. (2013). INTERLEUKIN-1 BLOCKADE WITH ANAKINRA TO PREVENT ADVERSE CARDIAC REMODELING FOLLOWING ACUTE MYOCARDIAL INFARCTION: RESULTS OF THE VCU-ART2 PILOT STUDY. Journal of the American College of Cardiology. 61(10). E179–E179. 1 indexed citations

Abbate, Antonio, Benjamín W. Van Tassell, Giuseppe Biondi‐Zoccai, et al.. (2013). Effects of Interleukin-1 Blockade With Anakinra on Adverse Cardiac Remodeling and Heart Failure After Acute Myocardial Infarction [from the Virginia Commonwealth University-Anakinra Remodeling Trial (2) (VCU-ART2) Pilot Study]. The American Journal of Cardiology. 111(10). 1394–1400. 307 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.

Explore authors with similar magnitude of impact