Steven L. Highfill

5.3k citations
86 papers · 2.9k indexed · 1 hit paper · h-index 23
Topics
CAR-T cell therapy research (62 papers)Immune Cell Function and Interaction (20 papers)Viral Infectious Diseases and Gene Expression in Insects (18 papers)
Partner nations
United StatesIndiaFrance

In The Last Decade

Steven L. Highfill

81 papers receiving 2.8k citations

Hit Papers

Disruption of CXCR2-Mediated MDSC Tumor Trafficking Enhan...20142026201820222014100200300400500

Peers

Steven L. Highfill
Comparison fields: 5 of 96
  • Immunology 1.7k
  • Oncology 1.6k
  • Molecular Biology 719
  • Hematology 374
  • Genetics 348
Replace Kipp Weiskopf with:
Kipp Weiskopf United States
Aurore Saudemont United Kingdom
Fabio Morandi Italy
Lynne Collins United States
Karen Clise-Dwyer United States
Jorge Mansilla‐Soto United States
Bianca Santomasso United States
Alessandra Dondero Italy
Irma Airoldi Italy
Sydney Gordon United States
Steven L. Highfill relative to Kipp Weiskopf United States Kipp Weiskopf's profile →
Citations per field
00.5×1.5×2.1×
Kipp Weiskopf · 1×
Citations per year

Countries citing papers authored by Steven L. Highfill

Since Specialization
Citations

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

Fields of papers citing papers by Steven L. Highfill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven L. Highfill. 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 Steven L. Highfill. The network helps show where Steven L. Highfill may publish in the future.

Co-authorship network of co-authors of Steven L. Highfill

This figure shows the co-authorship network connecting the top 25 collaborators of Steven L. Highfill. A scholar is included among the top collaborators of Steven L. Highfill 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 Steven L. Highfill. Steven L. Highfill 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 3
3 0
4 1
5 2
6 1
7 12
8 1
9 8
10 10
11 0
12 31
13 9
14 2
15 115
16 258
17 117
18 10
19 230
20 87

About Steven L. Highfill

Steven L. Highfill is a scholar working on Oncology, Immunology and Hematology, having authored 86 papers that have together received 2.9k indexed citations. Recurring topics across this work include CAR-T cell therapy research (62 papers), Immune Cell Function and Interaction (20 papers) and Viral Infectious Diseases and Gene Expression in Insects (18 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (1.6k citations) and Hematology (374 citations). Steven L. Highfill has collaborated with scholars based in United States, India and France. Frequent co-authors include Crystal L. Mackall, Jillian Smith, Yongzhi Cui, Rosandra N. Kaplan, Elizabeth M. Morse, Amber Giles, Bruce R. Blazar, Hua Zhang, Jakub Tolar and David H. Munn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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