Daniel H. Johnson

3.0k citations
41 papers · 1.7k · h-index 18

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Colorectal Cancer Treatments and Studies
    • Drug Transport and Resistance Mechanisms

Papers in

    • Cancer Immunotherapy and Biomarkers 11
    • Colorectal Cancer Treatments and Studies 5
    • CAR-T cell therapy research 5
    • Polyomavirus and related diseases 2
    • Biochemical and Molecular Research 3
    • RNA and protein synthesis mechanisms 3

Daniel H. Johnson

39 papers receiving 1.7k citations

Peers

Daniel H. Johnson
Comparison fields: 5 of 104
  • Oncology 828
  • Transplantation 26
  • Immunology 208
  • Genetics 82
  • Inorganic Chemistry 116
Replace Attila Kumánovics with:
Attila Kumánovics United States
Osamu Okamoto Japan
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Dimitre R. Simeonov United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel H. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Johnson. 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 Daniel H. Johnson. The network helps show where Daniel H. Johnson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988210
2 2019201
3 2019201
4 2018183
5 2013131
6 2017128
7 201994
8 201056
9 200452
10 198848
11 199545
12 201837
13 201834
14 201433
15 201933
16 199532
17 200919
18 198718
19 198316
20 200515

About Daniel H. Johnson

Daniel H. Johnson is a scholar working on Oncology, Molecular Biology, Genetics, Epidemiology and Surgery, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Colorectal Cancer Treatments and Studies (5 papers), CAR-T cell therapy research (5 papers), Biochemical and Molecular Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), HIV/AIDS drug development and treatment (3 papers), RNA and protein synthesis mechanisms (3 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Oncology (828 citations), Transplantation (26 citations), Immunology (208 citations), Genetics (82 citations) and Inorganic Chemistry (116 citations). Daniel H. Johnson has collaborated with scholars based in United States, Egypt and Sweden. Frequent co-authors include Steven Henikoff, Thomas D. Dreesen, Adi Diab, Van Anh Trinh, María E. Suarez‐Almazor, Chrystia M. Zobniw, Noha Abdel‐Wahab, Houssein Safa, Heather Lin and Marc Uemura. Their work appears in journals such as Journal of Clinical Oncology, Molecular and Cellular Biology, Journal for ImmunoTherapy of Cancer, Journal of Cutaneous Pathology and Gastroenterology.

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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