Merry Tetef

948 citations
29 papers · 581 indexed · h-index 14

Impact in

  • Oncology top 10%
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • Breast Cancer Treatment Studies

Papers in

    • Cancer Treatment and Pharmacology 7
    • HER2/EGFR in Cancer Research 6
    • Lung Cancer Research Studies 3
    • Cancer Cells and Metastasis 3

Merry Tetef

29 papers receiving 568 citations

Peers

Merry Tetef
Comparison fields: 5 of 75
  • Oncology 269
  • Cancer Research 118
  • Hematology 82
  • Genetics 78
  • Toxicology 16
Replace Jacqueline Ming Liu with:
Jacqueline Ming Liu Taiwan
Hitoyasu Futami Japan
Jörg Hartmann Germany
Sonja Mandl–Weber Germany
Masafumi Takimoto Japan
Corbett Th
Luis T. Campos United States
B D Evans New Zealand
Teresa M. Hopper United States
Erwan Pencreach France
Merry Tetef relative to Jacqueline Ming Liu Taiwan Jacqueline Ming Liu's profile →
Citations per field
00.5×
Jacqueline Ming Liu · 1×
Citations per year

Countries citing papers authored by Merry Tetef

Since Specialization
Citations

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

Fields of papers citing papers by Merry Tetef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20076
3 20045
4 20045
5 20043
6 200314
7 20015
8 200126
9 200013
10 200075
11 20007
12 20009
13 19992
14 199763
15 19971
16 199659
17 199615
18 199547
19 199535
20 199531

About Merry Tetef

Merry Tetef is a scholar working on Oncology, Dermatology, Cancer Research, Pulmonary and Respiratory Medicine and Hematology, having authored 29 papers that have together received 581 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (7 papers), HER2/EGFR in Cancer Research (6 papers), Breast Cancer Treatment Studies (5 papers), Advanced Breast Cancer Therapies (4 papers), Cancer therapeutics and mechanisms (4 papers), Lung Cancer Research Studies (3 papers), Cancer Cells and Metastasis (3 papers) and Chemotherapy-induced cardiotoxicity and mitigation (3 papers). The work is most often cited by research in Oncology (269 citations), Cancer Research (118 citations), Hematology (82 citations), Genetics (78 citations) and Toxicology (16 citations). Merry Tetef has collaborated with scholars based in United States. Frequent co-authors include Kim Margolin, George Somlo, James H. Doroshow, James Raschko, Robert J. Morgan, Stephen Shibata, Lucille Leong, Warren Chow, Steven A. Akman and Chul Ahn. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Journal of Clinical Oncology, Cancer Investigation, Blood and International Journal of Gynecological 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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