Mark Stroh

52 papers receiving 1.8k citations

Hit Papers

Quantum dots spectrally distinguish multiple species within the tumor milieu in vivo 2005 · 322 citations
3222005202620122019100200300

Peers

Mark Stroh
Comparison fields: 5 of 113
  • Microbiology 119
  • Biomaterials 194
  • Oncology 398
  • Endocrine and Autonomic Systems 87
  • Endocrinology 62
Replace Jianming Xie with:
Jianming Xie United States
Mar Orzáez Spain
John L. Joyal United States
Hongbin Sun China
J A Cook United States
Sylwia Rodziewicz‐Motowidło Poland
Nadya I. Tarasova United States
Josef Vágner United States
Timothy J. Jensen United States
Rosa Angela Cardone Italy
Mark Stroh relative to Jianming Xie United States Jianming Xie's profile →
Citations per field
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Jianming Xie · 1×
Citations per year

Countries citing papers authored by Mark Stroh

Since Specialization
Citations

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

Fields of papers citing papers by Mark Stroh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantum dots spectrally distinguish multiple species within the tumor milieu in vivo
Hit paper breakdown →
2005322
2 1996272
3 2004190
4 1996177
5 2007124
6 2016116
7 200357
8 201853
9 200951
10 202145
11 201142
12 201641
13 201140
14 200431
15 201830
16 202127
17 199826
18 201723
19 202120
20 201315

About Mark Stroh

Mark Stroh is a scholar working on Oncology, Pharmacology, Radiology, Nuclear Medicine and Imaging, Immunology and Reproductive Medicine, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Cancer Immunotherapy and Biomarkers (9 papers), HER2/EGFR in Cancer Research (7 papers), Immunotherapy and Immune Responses (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers), CAR-T cell therapy research (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Microbiology (119 citations), Biomaterials (194 citations), Oncology (398 citations), Endocrine and Autonomic Systems (87 citations) and Endocrinology (62 citations). Mark Stroh has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Raymond C. Stevens, Moungi G. Bawendi, Rakesh K. Jain, John P. Zimmer, Yinthai Chan, Jonathan S. Steckel, Dan G. Duda, Tatyana Levchenko, Dai Fukumura and Vladimir P. Torchilin. Their work appears in journals such as Journal of Clinical Oncology, Clinical Pharmacology & Therapeutics, Cancer Chemotherapy and Pharmacology, American Journal of Therapeutics and CPT Pharmacometrics & Systems Pharmacology.

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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