Katie Smith

34 papers receiving 1.6k citations

Peers

Katie Smith
Comparison fields: 5 of 113
  • Hepatology 257
  • Rheumatology 373
  • Genetics 179
  • Obstetrics and Gynecology 120
  • Biological Psychiatry 40
Replace Amolak S. Bansal with:
Amolak S. Bansal United Kingdom
Steven C. Hoffmann United States
G Torelli Italy
Benjamin Wilde Germany
Olga Vera‐Lastra Mexico
Bruno Laganà Italy
Peter Rubin United States
Renato Nisihara Brazil
Suzanne Norris Ireland
Ning‐Sheng Lai Taiwan
Katie Smith relative to Amolak S. Bansal United Kingdom Amolak S. Bansal's profile →
Citations per field
00.5×1.5×2.2×
Amolak S. Bansal · 1×
Citations per year

Countries citing papers authored by Katie Smith

Since Specialization
Citations

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

Fields of papers citing papers by Katie Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004278
2 2004264
3 2004142
4 2006119
5 200395
6 200894
7 200483
8 201280
9 199768
10 201558
11 200848
12 200748
13 201241
14 200637
15 201535
16 198631
17 201329
18 197922
19
Dose, plasma concentration and response relationships of D-penicillamine in patients with rheumatoid arthritis.
198415
20
Role of free PSA in discordance across commercial PSA assays.
199614

About Katie Smith

Katie Smith is a scholar working on Epidemiology, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Hepatology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis C virus research (4 papers), Pregnancy-related medical research (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Molecular Biology Techniques and Applications (2 papers), Liver Disease and Transplantation (2 papers) and Microscopic Colitis (2 papers). The work is most often cited by research in Hepatology (257 citations), Rheumatology (373 citations), Genetics (179 citations), Obstetrics and Gynecology (120 citations) and Biological Psychiatry (40 citations). Katie Smith has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Thierry Dervieux, Joel M. Kremer, Daniel E. Furst, Robert Capps, Michael Walsh, Esther S. Oh, Christina Campbell, John G. McHutchison, Keyur Patel and Christophe Hézode. Their work appears in journals such as Clinical Chemistry, Medicine & Science in Sports & Exercise, Strength and conditioning journal, The American Journal of Gastroenterology and BMC Pregnancy and Childbirth.

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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