Maisa Seppala

849 citations
23 papers · 622 · h-index 12

Impact in

    • Oral and Maxillofacial Pathology
  • Genetics top 10%
    • Cleft Lip and Palate Research
    • Genetic and Kidney Cyst Diseases
    • Craniofacial Disorders and Treatments

Papers in

    • Hedgehog Signaling Pathway Studies 14
    • dental development and anomalies 9
    • Developmental Biology and Gene Regulation 4
    • Oral and Maxillofacial Pathology 8

Maisa Seppala

23 papers receiving 611 citations

Peers

Maisa Seppala
Comparison fields: 5 of 73
  • Oral Surgery 119
  • Genetics 253
  • Molecular Biology 524
  • Genetics 61
  • Developmental Biology 11
Replace Yiqiang Song with:
Yiqiang Song United States
Manuela Priolo Italy
Hiroshi Kurosaka Japan
Fenglei He United States
Xuguang Nie United States
Zoë Hardcastle United Kingdom
Yi Ping Chen China
Axel Bohring Germany
L. Bruno Ruest United States
Anahid A. Birjandi United Kingdom
Maisa Seppala relative to Yiqiang Song United States Yiqiang Song's profile →
Citations per field
00.5×2.7×
Yiqiang Song · 1×
Citations per year

Countries citing papers authored by Maisa Seppala

Since Specialization
Citations

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

Fields of papers citing papers by Maisa Seppala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maisa Seppala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maisa Seppala Line = papers co-authored together Maisa Seppala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007111
2 2009110
3 201697
4 201748
5 200636
6 200633
7 201332
8 201424
9 200622
10 202020
11 201417
12 202114
13 201711
14 20189
15 20149
16 20077
17 20217
18 20224
19 20064
20 20163

About Maisa Seppala

Maisa Seppala is a scholar working on Molecular Biology, Oral Surgery, Genetics, Genetics and Pathology and Forensic Medicine, having authored 23 papers that have together received 622 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (14 papers), dental development and anomalies (9 papers), Oral and Maxillofacial Pathology (8 papers), Cleft Lip and Palate Research (6 papers), Developmental Biology and Gene Regulation (4 papers), Craniofacial Disorders and Treatments (3 papers), Congenital Ear and Nasal Anomalies (3 papers) and Genetic and Kidney Cyst Diseases (2 papers). The work is most often cited by research in Oral Surgery (119 citations), Genetics (253 citations), Molecular Biology (524 citations), Genetics (61 citations) and Developmental Biology (11 citations). Maisa Seppala has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Martyn T. Cobourne, Guilherme M. Xavier, Paul T. Sharpe, Chen‐Ming Fan, Anahid A. Birjandi, David C. Martinelli, Michael J. Depew, Courtney J. Haycraft, Sarah Ghafoor and Atsushi Ohazama. Their work appears in journals such as Journal of Dental Research, Development, Biology Open, BDJ and BMC Biology.

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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