Hank Schmidt

1.3k citations
43 papers · 978 indexed · h-index 17

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Global Cancer Incidence and Screening
    • Breast Cancer Treatment Studies

Papers in

    • HER2/EGFR in Cancer Research 4
    • Cancer Cells and Metastasis 3
    • Cancer-related Molecular Pathways 3
    • Breast Cancer Treatment Studies 16

Hank Schmidt

40 papers receiving 962 citations

Peers

Hank Schmidt
Comparison fields: 5 of 102
  • Oncology 433
  • Cancer Research 170
  • Immunology 235
  • Pathology and Forensic Medicine 123
  • Radiology, Nuclear Medicine and Imaging 114
Replace Yineng Fu with:
Yineng Fu United States
Kelly J. Yu United States
Christian Haslinger Switzerland
Deepa Bhojwani United States
Han Kyeom Kim South Korea
Simon J. Hollingsworth United Kingdom
Valerio Gaetano Vellone Italy
Hiroaki Goto Japan
James E. Boers Netherlands
Manfred Mitterer Italy
Hank Schmidt relative to Yineng Fu United States Yineng Fu's profile →
Citations per field
00.5×1.5×2.5×
Yineng Fu · 1×
Citations per year

Countries citing papers authored by Hank Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Hank Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007299
2 201457
3 201753
4 201748
5 199646
6 200545
7 200642
8 201638
9 200128
10 201826
11 201824
12 201923
13 201822
14 202022
15 201421
16 201619
17 201717
18 202015
19 202114
20 202012

About Hank Schmidt

Hank Schmidt is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Surgery and Molecular Biology, having authored 43 papers that have together received 978 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (9 papers), HER2/EGFR in Cancer Research (4 papers), Cancer Cells and Metastasis (3 papers), BRCA gene mutations in cancer (3 papers), Cancer-related Molecular Pathways (3 papers), Clinical Nutrition and Gastroenterology (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Oncology (433 citations), Cancer Research (170 citations), Immunology (235 citations), Pathology and Forensic Medicine (123 citations) and Radiology, Nuclear Medicine and Imaging (114 citations). Hank Schmidt has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ralph R. Weichselbaum, Christina Weltz, Natalie A. Bowerman, Bin Zhang, Michael T. Spiotto, Ping Yü, Joseph K. Salama, Yang‐Xin Fu, Andrea Schietinger and Donald A. Rowley. Their work appears in journals such as Annals of Surgical Oncology, The American Surgeon, Breast Cancer Research and Treatment, The Breast Journal and Current Opinion in Clinical Nutrition & Metabolic Care.

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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