Daniel H. Johnson

2.9k citations
39 papers · 1.6k · h-index 18

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • CAR-T cell therapy research
    • Polyomavirus and related diseases

Papers in

    • Cancer Immunotherapy and Biomarkers 12
    • Colorectal Cancer Treatments and Studies 7
    • CAR-T cell therapy research 6
    • Lung Cancer Research Studies 3
    • Biochemical and Molecular Research 3
    • RNA and protein synthesis mechanisms 3

Daniel H. Johnson

38 papers receiving 1.6k citations

Peers

Daniel H. Johnson
Comparison fields: 5 of 105
  • Oncology 883
  • Transplantation 37
  • Immunology 253
  • Genetics 105
  • Inorganic Chemistry 114
Replace Attila Kumánovics with:
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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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988196
2 2019194
3 2019187
4 2018178
5 2013128
6 2017127
7 201991
8 201054
9 200450
10 198848
11 199543
12 201837
13 201433
14 201832
15 199532
16 201932
17 200919
18 198718
19 198316
20 201814

About Daniel H. Johnson

Daniel H. Johnson is a scholar working on Oncology, Molecular Biology, Genetics, Epidemiology and Surgery, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Colorectal Cancer Treatments and Studies (7 papers), CAR-T cell therapy research (6 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Biochemical and Molecular Research (3 papers), Immunotherapy and Immune Responses (3 papers), Lung Cancer Research Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Oncology (883 citations), Transplantation (37 citations), Immunology (253 citations), Genetics (105 citations) and Inorganic Chemistry (114 citations). Daniel H. Johnson has collaborated with scholars based in United States, Sweden and Egypt. Frequent co-authors include Steven Henikoff, Thomas D. Dreesen, Adi Diab, Van Anh Trinh, María E. Suarez‐Almazor, Chrystia M. Zobniw, Heather Lin, Houssein Safa, Noha Abdel‐Wahab 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 Behavioural 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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