Ursina Teitelbaum

3.6k citations
54 papers · 2.7k indexed · 1 hit paper · h-index 19
Topics
Pancreatic and Hepatic Oncology Research (23 papers)Cancer Genomics and Diagnostics (16 papers)Neuroendocrine Tumor Research Advances (9 papers)

In The Last Decade

Ursina Teitelbaum

52 papers receiving 2.7k citations

Hit Papers

CD40 Agonists Alter Tumor Stroma and Show Efficacy Agains...201120262016202120114008001.2k

Peers

Ursina Teitelbaum
Comparison fields: 5 of 76
  • Oncology 1.9k
  • Immunology 1.2k
  • Molecular Biology 596
  • Cancer Research 452
  • Epidemiology 352
Replace Ann Cleverly with:
Ann Cleverly United States
Yuko Mataki Japan
Minal Barve United States
Paul E. Oberstein United States
Shuang‐Jian Qiu China
Todd T. Moore United States
Sofia R. Gameiro United States
Yu Kato Japan
Jason Madore Australia
Ranran Gao China
Ursina Teitelbaum relative to Ann Cleverly United States Ann Cleverly's profile →
Citations per field
00.5×2.6×
Ann Cleverly · 1×
Citations per year

Countries citing papers authored by Ursina Teitelbaum

Since Specialization
Citations

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

Fields of papers citing papers by Ursina Teitelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursina Teitelbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Ursina Teitelbaum. A scholar is included among the top collaborators of Ursina Teitelbaum 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 Ursina Teitelbaum. Ursina Teitelbaum 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 0
2 1
3 10
4 22
5 19
6 25
7 1
8 20
9 19
10 9
11 38
12 1
13 364
14 10
15 69
16 3
17 9
18 75
19 1
20 2

About Ursina Teitelbaum

Ursina Teitelbaum is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (23 papers), Cancer Genomics and Diagnostics (16 papers) and Neuroendocrine Tumor Research Advances (9 papers). The work is most often cited by research in Oncology (1.9k citations), Immunology (1.2k citations) and Cancer Research (452 citations). Ursina Teitelbaum has collaborated with scholars based in United States, Slovakia and Switzerland. Frequent co-authors include Peter J. O’Dwyer, Robert H. Vonderheide, Weijing Sun, Gregory L. Beatty, Babak Saboury, E. Gabriela Chiorean, Drew A. Torigian, Richard D. Huhn, Leslie L. Sharp and Wenru Song. Their work appears in journals such as Science, Journal of Clinical Oncology and Cancer.

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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