Margaret S. Vail

8 total papers · 833 total citations
7 papers, 734 citations indexed

About

Margaret S. Vail is a scholar working on Rheumatology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Margaret S. Vail has authored 7 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 5 papers in Immunology and Allergy and 3 papers in Molecular Biology. Recurrent topics in Margaret S. Vail's work include Osteoarthritis Treatment and Mechanisms (5 papers), Cell Adhesion Molecules Research (5 papers) and Proteoglycans and glycosaminoglycans research (1 paper). Margaret S. Vail is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (5 papers), Cell Adhesion Molecules Research (5 papers) and Proteoglycans and glycosaminoglycans research (1 paper). Margaret S. Vail collaborates with scholars based in United States. Margaret S. Vail's co-authors include Edward J. Miller, Richard Mayne, Stephen H. Blose, Samuel Chacko, Paul K. Horan, R. Schuette, Katharine A. Muirhead, Kara Patrick, H. R. Gralnick and Gerald E. Marti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Margaret S. Vail

7 papers receiving 620 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Margaret S. Vail	352	230	214	213	195	7	734
Manfred Wiestner	132 0.4×	147 0.6×	200 0.9×	182 0.9×	211 1.1×	9	762
Charlotte Wiberg	201 0.6×	77 0.3×	285 1.3×	235 1.1×	313 1.6×	14	816
Adele Hill	121 0.3×	139 0.6×	170 0.8×	140 0.7×	177 0.9×	9	712
Petri Nykvist	111 0.3×	199 0.9×	242 1.1×	433 2.0×	269 1.4×	8	860
Jyrki Heino	136 0.4×	75 0.3×	128 0.6×	235 1.1×	241 1.2×	7	716
L. Fischer	395 1.1×	121 0.5×	106 0.5×	56 0.3×	223 1.1×	10	703
N. Kadhom	362 1.0×	128 0.6×	124 0.6×	66 0.3×	270 1.4×	10	681
Katrin Blumbach	181 0.5×	52 0.2×	203 0.9×	205 1.0×	293 1.5×	14	815
Minna Nokelainen	157 0.4×	381 1.7×	66 0.3×	107 0.5×	307 1.6×	13	864
Toshikazu Yada	149 0.4×	87 0.4×	358 1.7×	115 0.5×	345 1.8×	16	700

Countries citing papers authored by Margaret S. Vail

Since Specialization

Citations

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

Fields of papers citing papers by Margaret S. Vail

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret S. Vail

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

All Works

Loading papers...

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