Stacey Tannheimer

1.5k citations
32 papers · 888 indexed · h-index 15
Topics
Chronic Lymphocytic Leukemia Research (14 papers)Lymphoma Diagnosis and Treatment (11 papers)Chronic Myeloid Leukemia Treatments (6 papers)

In The Last Decade

Stacey Tannheimer

32 papers receiving 878 citations

Peers

Stacey Tannheimer
Comparison fields: 5 of 84
  • Molecular Biology 447
  • Oncology 183
  • Genetics 163
  • Immunology 140
  • Cancer Research 135
Replace Lydia W.T. Cheung with:
Lydia W.T. Cheung Hong Kong
Vera Roginskaya United States
May Kung Sutherland United States
Daryoush Ekhterae United States
Atsushi Sato Japan
Tadayuki Akagi Japan
Aneela Majid United Kingdom
Severa Bunda Canada
Maria Mesuraca Italy
Yoshiaki Onodera Japan
Stacey Tannheimer relative to Lydia W.T. Cheung Hong Kong Lydia W.T. Cheung's profile →
Citations per field
00.5×1.5×
Lydia W.T. Cheung · 1×
Citations per year

Countries citing papers authored by Stacey Tannheimer

Since Specialization
Citations

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

Fields of papers citing papers by Stacey Tannheimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stacey Tannheimer

This figure shows the co-authorship network connecting the top 25 collaborators of Stacey Tannheimer. A scholar is included among the top collaborators of Stacey Tannheimer 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 Stacey Tannheimer. Stacey Tannheimer 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 52
2 18
3 1
4 44
5 14
6 171
7 38
8
Ex Vivo Lymph Node Native Microenvironment Assay Shows Novel Antiproliferative Activity For Idelalisib And Ibrutinib On Cll Cells
1
9 11
10 2
11 13
12 7
13 26
14 13
15 21
16 34
17 59
18 43
19 85
20 88

About Stacey Tannheimer

Stacey Tannheimer is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 32 papers that have together received 888 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (14 papers), Lymphoma Diagnosis and Treatment (11 papers) and Chronic Myeloid Leukemia Treatments (6 papers). The work is most often cited by research in Genetics (163 citations), Cancer Research (135 citations) and Hematology (93 citations). Stacey Tannheimer has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Stephen P. Ethier, Clifford D. Wright, M Salmon, Alnawaz Rehemtulla, Sarah Ridge, Joseph Therrien, Anjen Chenn, Trevor Price, Chad M. McCall and Matthew J. Warner. Their work appears in journals such as Nature, Blood 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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