Meadow M. Good

22 total papers · 844 total citations
20 papers, 583 citations indexed

About

Meadow M. Good is a scholar working on Rheumatology, Surgery and Epidemiology. According to data from OpenAlex, Meadow M. Good has authored 20 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Rheumatology, 13 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Meadow M. Good's work include Pelvic floor disorders treatments (14 papers), Anorectal Disease Treatments and Outcomes (10 papers) and Pelvic and Acetabular Injuries (8 papers). Meadow M. Good is often cited by papers focused on Pelvic floor disorders treatments (14 papers), Anorectal Disease Treatments and Outcomes (10 papers) and Pelvic and Acetabular Injuries (8 papers). Meadow M. Good collaborates with scholars based in United States and Canada. Meadow M. Good's co-authors include Ellen Solomon, David D. Rahn, Vivian W. Sung, Nicole M. Book, Monica L. Richardson, Heidi S. Harvie, Janelle Evans, Nadine C. Kassis, Sallis O. Yip and Nicole B. Korbly and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and American Journal of Obstetrics and Gynecology.

In The Last Decade

Meadow M. Good

19 papers receiving 564 citations

Author Peers

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

Author						Papers	Cites
Meadow M. Good	424	389	70	66	57	20	583
Kathleen A. Connell	393 0.9×	334 0.9×	39 0.6×	64 1.0×	76 1.3×	35	599
Theresa Spitznagle	268 0.6×	238 0.6×	62 0.9×	92 1.4×	29 0.5×	34	534
Ana Paula Magalhães Resende	468 1.1×	366 0.9×	32 0.5×	110 1.7×	84 1.5×	39	627
Audrey A. Romero	349 0.8×	260 0.7×	93 1.3×	188 2.8×	105 1.8×	20	528
Edward Varner	369 0.9×	345 0.9×	55 0.8×	104 1.6×	60 1.1×	13	537
M Guralnick	311 0.7×	347 0.9×	284 4.1×	64 1.0×	19 0.3×	11	696
Madhu Alagiri	169 0.4×	165 0.4×	24 0.3×	308 4.7×	98 1.7×	25	535
Janet Erickson	253 0.6×	317 0.8×	22 0.3×	318 4.8×	81 1.4×	18	652
Elyonara Mello Figueiredo	187 0.4×	182 0.5×	33 0.5×	59 0.9×	48 0.8×	26	538
Joseph M. Novi	413 1.0×	283 0.7×	41 0.6×	212 3.2×	124 2.2×	25	514

Countries citing papers authored by Meadow M. Good

Since Specialization

Citations

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

Fields of papers citing papers by Meadow M. Good

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meadow M. Good

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

All Works

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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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