Matthew Macer

10 total papers · 838 total citations
6 papers, 552 citations indexed

About

Matthew Macer is a scholar working on Reproductive Medicine, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Matthew Macer has authored 6 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Reproductive Medicine, 3 papers in Surgery and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Matthew Macer's work include Endometriosis Research and Treatment (3 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers) and Diverticular Disease and Complications (2 papers). Matthew Macer is often cited by papers focused on Endometriosis Research and Treatment (3 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers) and Diverticular Disease and Complications (2 papers). Matthew Macer collaborates with scholars based in United States. Matthew Macer's co-authors include Hugh S. Taylor, Michael Spektor, Margarita V. Revzin, Margareta D. Pisarska, Diana P. English, Erica T. Wang, Temeka Zore, Stefan Gysler, John W Williams and Naomi Greene and has published in prestigious journals such as Fertility and Sterility, Radiographics and Journal of Computer Assisted Tomography.

In The Last Decade

Matthew Macer

5 papers receiving 535 citations

Hit Papers

Endometriosis and Inferti... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Matthew Macer 456 369 216 82 57 6 552
Jacques Donnez 497 1.1× 413 1.1× 92 0.4× 114 1.4× 61 1.1× 10 561
D V Landers 415 0.9× 312 0.8× 331 1.5× 54 0.7× 67 1.2× 7 557
K. Pateman 490 1.1× 471 1.3× 70 0.3× 65 0.8× 85 1.5× 12 578
Nicola Saliani 380 0.8× 325 0.9× 342 1.6× 114 1.4× 34 0.6× 8 539
Giuseppe Colafiglio 327 0.7× 281 0.8× 243 1.1× 90 1.1× 34 0.6× 13 468
Carlos Rotman 459 1.0× 398 1.1× 280 1.3× 35 0.4× 90 1.6× 16 564
D J Oosterlynck 484 1.1× 431 1.2× 254 1.2× 50 0.6× 39 0.7× 8 516
I. Chiodo 418 0.9× 346 0.9× 175 0.8× 57 0.7× 28 0.5× 10 500
Yohei Kishi 534 1.2× 461 1.2× 241 1.1× 52 0.6× 24 0.4× 10 580
Raffaello Alfonso 249 0.5× 214 0.6× 300 1.4× 131 1.6× 36 0.6× 12 507

Countries citing papers authored by Matthew Macer

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Macer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Macer

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Macer. A scholar is included among the top collaborators of Matthew Macer 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 Matthew Macer. Matthew Macer 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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