Sam L. Stephen

1.0k citations
14 papers · 757 indexed · h-index 10

Impact in

    • Atherosclerosis and Cardiovascular Diseases
    • Immune Response and Inflammation
  • Genetics top 10%
    • Virus-based gene therapy research

Papers in

    • Virus-based gene therapy research 6
    • Phagocytosis and Immune Regulation 2
    • interferon and immune responses 1

Sam L. Stephen

14 papers receiving 745 citations

Peers

Sam L. Stephen
Comparison fields: 5 of 97
  • Immunology 195
  • Genetics 215
  • Molecular Biology 446
  • Cancer Research 71
  • Oncology 115
Replace Zhifang Cao with:
Zhifang Cao United States
Mingjie Li China
Kris Nys Belgium
Badal C. Roy United States
Honghui Han China
Preethi Jayanth Canada
Dhan V. Kalvakolanu United States
Vasudevan Seshadri India
Ann‐Muriel Steff Canada
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Sam L. Stephen relative to Zhifang Cao United States Zhifang Cao's profile →
Citations per field
00.5×1.7×
Zhifang Cao · 1×
Citations per year

Countries citing papers authored by Sam L. Stephen

Since Specialization
Citations

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

Fields of papers citing papers by Sam L. Stephen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20233
2 201814
3 201552
4 201576
5 2015248
6 201253
7 201239
8 20121
9 201060
10 201069
11 20089
12 200827
13 2008105
14 19991

About Sam L. Stephen

Sam L. Stephen is a scholar working on Genetics, Immunology, Immunology and Allergy, Molecular Biology and Cancer Research, having authored 14 papers that have together received 757 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (4 papers), Angiogenesis and VEGF in Cancer (3 papers), RNA Interference and Gene Delivery (2 papers), Phagocytosis and Immune Regulation (2 papers), Hepatitis B Virus Studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (195 citations), Genetics (215 citations), Molecular Biology (446 citations), Cancer Research (71 citations) and Oncology (115 citations). Sam L. Stephen has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Stephen B. Wheatcroft, Sreenivasan Ponnambalam, Shervanthi Homer‐Vanniasinkam, David Russell, Nadeem Mughal, Yasuhiro Takeuchi, Mary Collins, Sean Knight, Stefan Kochanek and Evelien Gevers. Their work appears in journals such as Journal of Virology, The Journal of Gene Medicine, Scientific Reports, Cells and Heart.

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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