Katie B. Williams

431 total citations
13 papers, 148 citations indexed

About

Katie B. Williams is a scholar working on Genetics, Molecular Biology and Nephrology. According to data from OpenAlex, Katie B. Williams has authored 13 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Nephrology. Recurrent topics in Katie B. Williams's work include Genomics and Rare Diseases (3 papers), Metabolism and Genetic Disorders (3 papers) and Parathyroid Disorders and Treatments (3 papers). Katie B. Williams is often cited by papers focused on Genomics and Rare Diseases (3 papers), Metabolism and Genetic Disorders (3 papers) and Parathyroid Disorders and Treatments (3 papers). Katie B. Williams collaborates with scholars based in United States, United Kingdom and Canada. Katie B. Williams's co-authors include Hector F. DeLuca, Kevin A. Strauss, Karlla W. Brigatti, Millie Young, Erik G. Puffenberger, Kavita Praveen, John D. Overton, Cora Taylor, Scott Mellis and Mei Baker and has published in prestigious journals such as PEDIATRICS, Journal of Bone and Mineral Research and The Journal of Pediatrics.

In The Last Decade

Katie B. Williams

13 papers receiving 145 citations

Peers

Katie B. Williams
Comparison fields: 5 of 52
  • Molecular Biology 70
  • Genetics 60
  • Clinical Biochemistry 28
  • Nutrition and Dietetics 25
  • Nephrology 22
Replace Anne Dieux‐Coëslier with:
Anne Dieux‐Coëslier France
Paulina Halat Poland
Maysoon Alsagob Saudi Arabia
Mahshid S. Azamian United States
Chaya N. Murali United States
Melis Köse Türkiye
Ali Alothaim Saudi Arabia
Ruth Schreiber Israel
Fengxia Yao China
Pilar Quijada‐Fraile Spain
Anne Dieux‐Coëslier France View profile →
Citations per field, relative to Katie B. Williams
Katie B. Williams · 1×
Citations per year, relative to Katie B. Williams
Katie B. Williams · 1×

Countries citing papers authored by Katie B. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Katie B. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katie B. Williams. 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 Katie B. Williams. The network helps show where Katie B. Williams may publish in the future.

Co-authorship network of co-authors of Katie B. Williams

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 4
2 1
3 6
4 13
5 3
6 11
7 30
8 1
9 36
10 6
11 2
12 4
13 31

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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