Grace A. Stafford

565 citations
24 papers · 382 indexed · h-index 13
Topics
Genomics and Chromatin Dynamics (6 papers)Biomedical Text Mining and Ontologies (5 papers)Cancer Genomics and Diagnostics (3 papers)

In The Last Decade

Grace A. Stafford

23 papers receiving 374 citations

Peers

Grace A. Stafford
Comparison fields: 5 of 77
  • Molecular Biology 248
  • Cancer Research 40
  • Materials Chemistry 38
  • Oncology 34
  • Genetics 33
Replace Clemens Wrzodek with:
Clemens Wrzodek Germany
Prisca Lo Surdo Italy
Robert P. Sheehan United States
Eric Bender United States
Åsmund Flobak Norway
Fred Harbinski United States
Daniel Teixeira Switzerland
Valentine Rech de Laval Switzerland
Yihong Yu China
Yubo Fan United States
Grace A. Stafford relative to Clemens Wrzodek Germany Clemens Wrzodek's profile →
Citations per field
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Clemens Wrzodek · 1×
Citations per year

Countries citing papers authored by Grace A. Stafford

Since Specialization
Citations

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

Fields of papers citing papers by Grace A. Stafford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace A. Stafford. 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 Grace A. Stafford. The network helps show where Grace A. Stafford may publish in the future.

Co-authorship network of co-authors of Grace A. Stafford

This figure shows the co-authorship network connecting the top 25 collaborators of Grace A. Stafford. A scholar is included among the top collaborators of Grace A. Stafford 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 Grace A. Stafford. Grace A. Stafford 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 11
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5 21
6 0
7 10
8
Towards a standard ontology metadata model
1
9 25
10 71
11 7
12 13
13 16
14 14
15 19
16 13
17 11
18 31
19 21
20 27

About Grace A. Stafford

Grace A. Stafford is a scholar working on Information Systems and Management, Molecular Biology and Cancer Research, having authored 24 papers that have together received 382 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Molecular Biology (248 citations), Cancer Research (40 citations) and Information Systems and Management (13 citations). Grace A. Stafford has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Randall H. Morse, Gregory A. Weiland, Robert E. Oswald, Michael P. Ryan, Fred Klaessig, David S. Paik, M. J. Fritts, Elizabeth Hahn-Dantona, Sharon Gaheen and Stacey L. Harper. Their work appears in journals such as Journal of Biological Chemistry, Bioinformatics and The Journal of Immunology.

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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