Fuki M. Hisama

9.0k citations
78 papers · 3.5k indexed · 2 hit papers · h-index 22

Fuki M. Hisama

78 papers receiving 3.4k citations

Hit Papers

Exome and ge...28819962026200620164008001.2k

Peers

Fuki M. Hisama
Comparison fields: 5 of 119
  • Aging 168
  • Molecular Biology 2.2k
  • Genetics 899
  • Cancer Research 420
  • Physiology 703
Replace Heidi Scrable with:
Heidi Scrable United States
Winnie S. Liang United States
Emma L. Blakely United Kingdom
Henne Holstege Netherlands
Leslie A. Lange United States
Elisabeth Graf Germany
Danielle Springer United States
Brooke C. Harrison United States
Kurenai Tanji United States
Orlando F. Bueno United States
Fuki M. Hisama relative to Heidi Scrable United States Heidi Scrable's profile →
Citations per field
00.5×1.7×
Heidi Scrable · 1×
Citations per year

Countries citing papers authored by Fuki M. Hisama

Since Specialization
Citations

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

Fields of papers citing papers by Fuki M. Hisama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fuki M. Hisama, 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 Fuki M. Hisama Line = papers co-authored together Fuki M. Hisama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20232
4 202210
5
Exome and genome sequencing for pediatric patients with congenital anomalies or intellectual disability: an evidence-based clinical guideline of the American College of Medical Genetics and Genomics (ACMG)breakdown →
2021288
6 20218
7 202047
8 201710
9 201628
10 201422
11 201318
12 20128
13 201148
14 200729
15 2006116
16 200510
17 20041
18 20019
19 20014
20 19985

About Fuki M. Hisama

Fuki M. Hisama is a scholar working on Aging, Genetics and Molecular Biology, having authored 78 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (12 papers), DNA Repair Mechanisms (12 papers), Nuclear Structure and Function (11 papers), Hereditary Neurological Disorders (7 papers), Genomics and Chromatin Dynamics (7 papers), RNA regulation and disease (7 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genetics and Neurodevelopmental Disorders (6 papers). The work is most often cited by research in Aging (168 citations), Molecular Biology (2.2k citations) and Genetics (899 citations). Fuki M. Hisama has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Junko Oshima, George M. Martin, Gerard D. Schellenberg, Chang-En Yu, John Mulligan, Tetsuro Miki, Jun Nakura, Reid S. Alisch, Ying‐Hui Fu and Ellen M. Wijsman. Their work appears in journals such as Science, Journal of Clinical Investigation and Journal of Clinical Oncology.

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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