Hank Schmidt

1.3k citations
44 papers · 1.0k · h-index 18

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

Hank Schmidt

40 papers receiving 1.0k citations

Peers

Hank Schmidt
Comparison fields: 5 of 100
  • Oncology 382
  • Immunology 231
  • Cancer Research 138
  • Pathology and Forensic Medicine 77
  • Radiology, Nuclear Medicine and Imaging 96
Replace Yuki Saito with:
Yuki Saito Japan
Christian Haslinger Switzerland
Pengcheng Cai China
Yineng Fu United States
Kelly J. Yu United States
Huaqiang Zhou China
Masayoshi Miura Japan
Rami Lissilaa Switzerland
James E. Boers Netherlands
Joud Hajjar United States
Hank Schmidt relative to Yuki Saito Japan Yuki Saito's profile →
Citations per field
00.5×1.5×1.8×
Yuki Saito · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007313
2 201461
3 201756
4 200551
5 201750
6 199650
7 200644
8 201639
9 200129
10 201826
11 201825
12 202024
13 201924
14 201822
15 201421
16 201619
17 201717
18 202117
19 202016
20 202013

About Hank Schmidt

Hank Schmidt is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (15 papers), Breast Lesions and Carcinomas (5 papers), BRCA gene mutations in cancer (3 papers), Cancer Cells and Metastasis (3 papers), Herpesvirus Infections and Treatments (3 papers), Clinical Nutrition and Gastroenterology (3 papers), MRI in cancer diagnosis (2 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Oncology (382 citations), Immunology (231 citations), Cancer Research (138 citations), Pathology and Forensic Medicine (77 citations) and Radiology, Nuclear Medicine and Imaging (96 citations). Hank Schmidt has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ralph R. Weichselbaum, Christina Weltz, Michael T. Spiotto, Bin Zhang, Joseph K. Salama, Andrea Schietinger, Natalie A. Bowerman, Yang‐Xin Fu, Donald A. Rowley and David M. Kranz. 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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