Michael Fuller

39 papers receiving 1.0k citations

Michael Fuller's Hit Papers

Complete protein sequence and identification of structural domains of human apolipoprotein B 1986 · 533 citations
5330+13+26Years since publication100200300400500

Peers

Michael Fuller
Comparison fields: 5 of 128
  • Endocrinology, Diabetes and Metabolism 194
  • Cancer Research 133
  • Biochemistry 41
  • Biochemistry 45
  • Surgery 253
Replace Akiko Murakami with:
Akiko Murakami Japan
Jane Chiu Canada
Leslie C. Lai United Kingdom
Yixin Li China
Li Zhu China
Lynn C. Hartmann United States
Wai Lee United States
Edward Uchio United States
Aristotelis Chatziioannou Greece
Fatima A. Merchant United States
Michael Fuller relative to Akiko Murakami Japan Akiko Murakami's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Michael Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Complete protein sequence and identification of structural domains of human apolipoprotein B
Hit paper breakdown →
1986533
2 2013105
3 198690
4 200138
5 198737
6 198731
7 199326
8 198620
9 200519
10 200115
11 199715
12 201213
13
TREC 7 Ad Hoc, Speech, and Interactive tracks at MDS/CSIRO.
199810
14
The RMIT/CSIRO Ad Hoc, Q&A, Web, Interactive, and Speech Experiments at TREC 8.
19999
15
The Tension Between Teacher Accountability and Flexibility: The Paradox of Standards-Based Reform
20129
16 20189
17
The ELF Data Model and SCGL Query Language for Structured Document Databases.
19957
18 20097
19 20187
20 20177

About Michael Fuller

Michael Fuller is a scholar working on Artificial Intelligence, Molecular Biology, Computer Networks and Communications, Education and Information Systems, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Semantic Web and Ontologies (3 papers), Data Visualization and Analytics (3 papers), Information Retrieval and Search Behavior (3 papers), Acute Ischemic Stroke Management (3 papers), Signaling Pathways in Disease (2 papers), Early Childhood Education and Development (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (194 citations), Cancer Research (133 citations), Biochemistry (41 citations), Biochemistry (45 citations) and Surgery (253 citations). Michael Fuller has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Ross Wilkinson, James Scott, S C Rall, Robert W. Mahley, R W Milne, Timothy J. Knott, S. Wallis, Aldons J. Lusis, Lynn M. Powell and Yves L. Marcel. Their work appears in journals such as Molecular and Cellular Biology, Journal of Hypertension, Remedial and Special Education, Nature and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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