Benjamin J. Daniel

2.0k citations
34 papers · 1.2k · h-index 15

Impact in

  • Physiology top 1%
    • Adenosine and Purinergic Signaling
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 4
    • CAR-T cell therapy research 4

Benjamin J. Daniel

32 papers receiving 1.2k citations

Peers

Benjamin J. Daniel
Comparison fields: 5 of 108
  • Physiology 219
  • Immunology 325
  • Parasitology 70
  • Oral Surgery 65
  • Oncology 234
Replace Carrie L. Seachord with:
Carrie L. Seachord United States
Qing Chu China
Ke Zheng China
Slim Sassi United States
Hilkka Reunanen Finland
Heidemarie Rossiter Austria
Yuichiro Kikuchi Japan
Thanh Kha Phan Australia
Juan‐Hua Quan China
Yoonsuk Park United States
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Citations per field
00.5×8.8×
Carrie L. Seachord · 1×
Citations per year

Countries citing papers authored by Benjamin J. Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin J. Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010349
2 2021106
3 201599
4 202098
5 201282
6 201969
7 201467
8 202143
9 201731
10 200724
11 201824
12 200723
13 201520
14 200820
15 201616
16 202113
17 201313
18 201613
19 20146
20 20246

About Benjamin J. Daniel

Benjamin J. Daniel is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Genetics, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (4 papers), Malaria Research and Control (3 papers), Herpesvirus Infections and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Toxoplasma gondii Research Studies (3 papers). The work is most often cited by research in Physiology (219 citations), Immunology (325 citations), Parasitology (70 citations), Oral Surgery (65 citations) and Oncology (234 citations). Benjamin J. Daniel has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Tyler J. Curiel, Tahiro Shin, Aijie Liu, Bin Zhang, Long Wang, Linda F. Thompson, Jie Fan, Dachuan Jin, Vanessa Chrepa and Michael Henry. Their work appears in journals such as Cancer Research, The Journal of Immunology, Advances in experimental medicine and biology, Journal of Visualized Experiments and The Prostate.

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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