Daniel Johnson

1.2k citations
30 papers · 856 · h-index 14

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 7
    • Viral-associated cancers and disorders 3
    • CAR-T cell therapy research 3
    • Tuberculosis Research and Epidemiology 3

Daniel Johnson

26 papers receiving 830 citations

Peers

Daniel Johnson
Comparison fields: 5 of 97
  • Infectious Diseases 331
  • Virology 52
  • Cellular and Molecular Neuroscience 165
  • Oncology 152
  • Epidemiology 186
Replace Martin Schaller with:
Martin Schaller Germany
Billy E. Buck United States
Susanna Livadiotti Italy
Jianjun Sun China
Elisabeth Schuller Austria
Gundula Notheis Germany
Janice A. Williams United States
Christoph Hauser Switzerland
Nao Yamamoto Japan
Pauline Terebuh United States
Daniel Johnson relative to Martin Schaller Germany Martin Schaller's profile →
Citations per field
00.5×4.5×
Martin Schaller · 1×
Citations per year

Countries citing papers authored by Daniel Johnson

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 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 Johnson more than expected).

Fields of papers citing papers by Daniel Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996213
2 200288
3 201783
4 201578
5 200161
6 199658
7 202155
8 202045
9 201434
10 200423
11 201421
12 198418
13 201217
14 201015
15 198412
16 20139
17 20187
18 20214
19 20153
20 20203

About Daniel Johnson

Daniel Johnson is a scholar working on Oncology, Infectious Diseases, Surgery, Virology and Epidemiology, having authored 30 papers that have together received 856 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), HIV Research and Treatment (5 papers), Viral-associated cancers and disorders (3 papers), Tuberculosis Research and Epidemiology (3 papers), CAR-T cell therapy research (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Cancer Genomics and Diagnostics (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Infectious Diseases (331 citations), Virology (52 citations), Cellular and Molecular Neuroscience (165 citations), Oncology (152 citations) and Epidemiology (186 citations). Daniel Johnson has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Mia Ericson, Jörgen A. Engel, Bo Söderpalm, Ola Blomqvist, Joseph E. Blaney, Stephen S. Whitehead, Brian R. Murphy, Christopher T. Hanson, Cai-Yen Firestone and David W. Haas. Their work appears in journals such as Journal of Clinical Oncology, Clinical Infectious Diseases, CRANIO®, Cancer and Journal of Thoracic Oncology.

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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