Danielle R. Litofsky

1.3k citations
7 papers · 965 indexed · 1 hit paper · h-index 6
Topics
Thyroid Cancer Diagnosis and Treatment (7 papers)Thyroid Disorders and Treatments (2 papers)BRCA gene mutations in cancer (2 papers)

In The Last Decade

Danielle R. Litofsky

7 papers receiving 940 citations

Hit Papers

Outcomes of Patients with Differentiated Thyroid Carcinom...20062026201220192006100200300400500

Peers

Danielle R. Litofsky
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 925
  • Surgery 496
  • Genetics 156
  • Radiology, Nuclear Medicine and Imaging 130
  • Epidemiology 91
Replace Monica M. Whitcher with:
Monica M. Whitcher United States
Wendy Sacks United States
Aya Ebina Japan
BM Arafah United States
Michael Tuttle United States
Tomoo Jikuzono Japan
Laurence Leclerc France
Motoko IKENAGA Japan
Józef Roskosz Poland
L. Chérié-Challine France
Danielle R. Litofsky relative to Monica M. Whitcher United States Monica M. Whitcher's profile →
Citations per field
00.5×1.6×
Monica M. Whitcher · 1×
Citations per year

Countries citing papers authored by Danielle R. Litofsky

Since Specialization
Citations

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

Fields of papers citing papers by Danielle R. Litofsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle R. Litofsky. 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 Danielle R. Litofsky. The network helps show where Danielle R. Litofsky may publish in the future.

Co-authorship network of co-authors of Danielle R. Litofsky

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 14
2 21
3 124
4 2
5 157
6 140
7
Outcomes of Patients with Differentiated Thyroid Carcinoma Following Initial Therapybreakdown →
507

About Danielle R. Litofsky

Danielle R. Litofsky is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 7 papers that have together received 965 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Thyroid Disorders and Treatments (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (925 citations), Anatomy (35 citations) and Surgery (496 citations). Danielle R. Litofsky has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include James D. Brierley, Harry R. Maxon, Steven I. Sherman, Douglas S. Ross, Paul W. Ladenson, Bryan R. Haugen, Jacqueline Jonklaas, Kenneth B. Ain, Monica C. Skarulis and David S. Cooper. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Thyroid and Endocrine Practice.

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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