S.‐F. Hsu Schmitz

888 citations
19 papers · 689 indexed · h-index 15
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 7
    • Estrogen and related hormone effects 2
    • Lymphoma Diagnosis and Treatment 6
  • Oncology top 10%
    • Cancer Treatment and Pharmacology 3
    • Cancer survivorship and care 3
    • Immunodeficiency and Autoimmune Disorders 2
    • Statistical Methods and Bayesian Inference 2
    • Statistical Methods and Inference 2

S.‐F. Hsu Schmitz

19 papers receiving 661 citations

Peers

S.‐F. Hsu Schmitz
Comparison fields: 5 of 83
  • Genetics 271
  • Pathology and Forensic Medicine 299
  • Oncology 315
  • Immunology 91
  • Statistics and Probability 31
Replace Pareen J. Shenoy with:
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S.‐F. Hsu Schmitz relative to Pareen J. Shenoy United States Pareen J. Shenoy's profile →
Citations per field
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Citations per year

Countries citing papers authored by S.‐F. Hsu Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by S.‐F. Hsu Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.‐F. Hsu Schmitz. 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 S.‐F. Hsu Schmitz. The network helps show where S.‐F. Hsu Schmitz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside S.‐F. Hsu Schmitz, 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 S.‐F. Hsu Schmitz Line = papers co-authored together S.‐F. Hsu Schmitz links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200922
2 200670
3 2005121
4 200237
5 200225
6 200137
7 200010
8 20002
9 200031
10 200095
11 199917
12 199930
13 199933
14 199824
15 199866
16 199823
17 19986
18 199737
19
A Framework for Modeling Inheritance of Social Traits
19913

About S.‐F. Hsu Schmitz

S.‐F. Hsu Schmitz is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology, having authored 19 papers that have together received 689 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Cancer Treatment and Pharmacology (3 papers), Cancer survivorship and care (3 papers), Statistical Methods and Bayesian Inference (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Statistical Methods and Inference (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Genetics (271 citations), Pathology and Forensic Medicine (299 citations) and Oncology (315 citations). S.‐F. Hsu Schmitz has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Martin Wernli, Martin F. Fey, Daniel Betticher, Michele Ghielmini, Andreas Lohri, Beat Thürlimann, R. Morant, Geert Molenberghs, Desmond Curran and Richard Sylvester. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology and Statistics in Medicine.

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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