Neil C. Sheppard

2.1k citations
32 papers · 1.2k indexed · 2 hit papers · h-index 16
Topics
CAR-T cell therapy research (20 papers)HIV Research and Treatment (9 papers)Immune Cell Function and Interaction (8 papers)

In The Last Decade

Neil C. Sheppard

29 papers receiving 1.2k citations

Hit Papers

Nanomaterials for T-cell cancer immunotherapy20212026202220242021202350100150200250

Peers

Neil C. Sheppard
Comparison fields: 5 of 90
  • Molecular Biology 488
  • Immunology 481
  • Oncology 441
  • Biomedical Engineering 395
  • Genetics 157
Replace Elena Dukhovlinova with:
Elena Dukhovlinova United States
Jian‐Tai Qiu Taiwan
Murillo Silva United States
Youjia Cao China
Wuhbet Abraham United States
Talar Tokatlian United States
Jason Y.H. Chang United States
Pauline Verdijk Netherlands
Sandra Van Lint Belgium
Xian Tang China
Neil C. Sheppard relative to Elena Dukhovlinova United States Elena Dukhovlinova's profile →
Citations per field
00.5×4.7×
Elena Dukhovlinova · 1×
Citations per year

Countries citing papers authored by Neil C. Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Neil C. Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil C. Sheppard. 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 Neil C. Sheppard. The network helps show where Neil C. Sheppard may publish in the future.

Co-authorship network of co-authors of Neil C. Sheppard

This figure shows the co-authorship network connecting the top 25 collaborators of Neil C. Sheppard. A scholar is included among the top collaborators of Neil C. Sheppard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neil C. Sheppard. Neil C. Sheppard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 14
3 1
4 48
5 19
6 3
7 0
8 39
9 16
10 9
11 0
12 23
13 107
14
Nanomaterials for T-cell cancer immunotherapybreakdown →
250
15 10
16 8
17 60
18 23
19 5
20 5

About Neil C. Sheppard

Neil C. Sheppard is a scholar working on Virology, Oncology and Immunology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (20 papers), HIV Research and Treatment (9 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Virology (126 citations), Immunology (481 citations) and Oncology (441 citations). Neil C. Sheppard has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Carl H. June, Michael J. Mitchell, Margaret M. Billingsley, Ningqiang Gong, David Mai, James L. Riley, Gavin I. Ellis, Alex G. Hamilton, Kelsey L. Swingle and Quentin J. Sattentau. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

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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