Stephen M. Jackson

1.8k citations
32 papers · 1.2k · h-index 19

Impact in

    • Cancer Genomics and Diagnostics
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

Stephen M. Jackson

32 papers receiving 1.2k citations

Peers

Stephen M. Jackson
Comparison fields: 5 of 88
  • Cancer Research 153
  • Immunology 218
  • Aging 18
  • Cellular and Molecular Neuroscience 156
  • Oncology 200
Replace Danian Chen with:
Danian Chen China
Takaharu G. Yamamoto Japan
Oktay Kirak United States
Natasza A. Kurpios United States
Brian E. Tomkowicz United States
Albert Ruzo United States
KAZUYA B. OGAWA Japan
Emmanuelle Planus France
Kailin R. Mesa United States
Corinne Laplace‐Builhé France
Stephen M. Jackson relative to Danian Chen China Danian Chen's profile →
Citations per field
00.5×2×2.9×
Danian Chen · 1×
Citations per year

Countries citing papers authored by Stephen M. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015139
2 1994128
3 2002113
4 200480
5 200865
6 200163
7 201760
8 199258
9 200546
10 201039
11 199536
12 199236
13 199734
14 200831
15 199127
16 200225
17 201324
18 200823
19 201623
20 199919

About Stephen M. Jackson

Stephen M. Jackson is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), T-cell and B-cell Immunology (8 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Immune Cell Function and Interaction (6 papers), Developmental Biology and Gene Regulation (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immunotherapy and Immune Responses (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (153 citations), Immunology (218 citations), Aging (18 citations), Cellular and Molecular Neuroscience (156 citations) and Oncology (200 citations). Stephen M. Jackson has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Leo J. Pallanck, Terrence F. Satterfield, Celeste A. Berg, J. Donald Capra, Phillip M. Ligrani, Arthur Gutierrez‐Hartmann, Patrick C. Wilson, Cheryl A. Keech, A Gutierrez-Hartmann and Judith A. James. Their work appears in journals such as Genetics, Molecular Endocrinology, Blood, Development and Journal of Clinical Investigation.

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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