Michael J. Higgins

5.5k citations
104 papers · 4.2k indexed · h-index 31

Michael J. Higgins

103 papers receiving 4.1k citations

Peers

Michael J. Higgins
Comparison fields: 5 of 124
  • Molecular Biology 3.1k
  • Genetics 1.9k
  • Pediatrics, Perinatology and Child Health 995
  • Cancer Research 585
  • Neurology 315
Replace Erik G. Puffenberger with:
Erik G. Puffenberger United States
Jo Peters United Kingdom
Rolph Pfundt Netherlands
Alexander G. Bassuk United States
Arif B. Ekici Germany
Norio Niikawa Japan
Catherine M. Suter Australia
Jennifer L. Moran United States
Paul Renbaum Israel
Karen Brøndum‐Nielsen Denmark
Michael J. Higgins relative to Erik G. Puffenberger United States Erik G. Puffenberger's profile →
Citations per field
00.5×1.5×2.4×
Erik G. Puffenberger · 1×
Citations per year

Countries citing papers authored by Michael J. Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Higgins

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 1
4 10
5 11
6 22
7 8
8 30
9 9
10 11
11 12
12 10
13 2
14 47
15 14
16 105
17 29
18 20
19
Martires y virgenes: la religión popular en México y en Nicaragua
1
20 3

About Michael J. Higgins

Michael J. Higgins is a scholar working on Genetics, Microbiology and Molecular Biology, having authored 104 papers that have together received 4.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (33 papers), Genetic Syndromes and Imprinting (28 papers) and Prenatal Screening and Diagnostics (17 papers). The work is most often cited by research in Genetics (1.9k citations), Pediatrics, Perinatology and Child Health (995 citations) and Molecular Biology (3.1k citations). Michael J. Higgins has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paul D. Soloway, Enrique C. G. Ventureyra, Bradley N. White, Wolf Reik, Torbjoern G. Nygaard, Evangelos Pavlou, Timothy Lynch, Kirk C. Wilhelmsen, Christine B. Ambrosone and Jong-Yeon Shin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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