Marisela Tan

433 total citations
9 papers, 263 citations indexed

About

Marisela Tan is a scholar working on Hematology, Oncology and Epidemiology. According to data from OpenAlex, Marisela Tan has authored 9 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Marisela Tan's work include Multiple Myeloma Research and Treatments (3 papers), Neutropenia and Cancer Infections (2 papers) and Antifungal resistance and susceptibility (2 papers). Marisela Tan is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), Neutropenia and Cancer Infections (2 papers) and Antifungal resistance and susceptibility (2 papers). Marisela Tan collaborates with scholars based in United States and China. Marisela Tan's co-authors include Dale E. Johnson, Sucha Sudarsanam, Elena T. Chan, B. Joseph Guglielmo, Jackie Lau, Rebecca Young, Mimi Lo, R. Fong, Ila M. Saunders and Divya Koura and has published in prestigious journals such as British Journal of Haematology, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy and Annals of Pharmacotherapy.

In The Last Decade

Marisela Tan

9 papers receiving 255 citations

Peers

Marisela Tan
Comparison fields: 5 of 81
  • Molecular Biology 76
  • Complementary and alternative medicine 52
  • Oncology 50
  • Pharmacology 50
  • Hematology 49
Replace Mingming Xue with:
Mingming Xue China
Farhad Abolnezhadian Iran
Xuefeng Xie China
Cheol Ho Park South Korea
Vyoma K. Patel Australia
Keijo Fukushima Japan
Saeed Kabrah Saudi Arabia
Lauren Krill United States
Sanlan Wu China
Mingming Xue China View profile →
Citations per field, relative to Marisela Tan
Marisela Tan · 1×
Citations per year, relative to Marisela Tan
Marisela Tan · 1×

Countries citing papers authored by Marisela Tan

Since Specialization
Citations

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

Fields of papers citing papers by Marisela Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisela Tan

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 22
2 6
3 12
4 4
5 2
6 24
7 33
8
Interactions between traditional Chinese medicines and Western therapeutics.
159
9
[Textual study and resource investigation on traditional Chinese drugs duhuo, jiuyanduhuo and qianghuo].
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026