Sharon L. Cross

802 citations
8 papers · 727 · h-index 8

Impact in

    • Animal Disease Management and Epidemiology
  • Immunology top 5%
    • T-cell and Retrovirus Studies
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology

Papers in

    • T-cell and Retrovirus Studies 3
    • Immune Cell Function and Interaction 3
    • Fungal and yeast genetics research 2
    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2

Sharon L. Cross

8 papers receiving 708 citations

Peers

Sharon L. Cross
Comparison fields: 5 of 64
  • Agronomy and Crop Science 271
  • Immunology 545
  • Ecology, Evolution, Behavior and Systematics 250
  • Cancer Research 171
  • Virology 20
Replace Shao-Cong Sun with:
Shao-Cong Sun United States
Hélène Gazon France
Mitsuaki Yoshida Japan
Laurent Dianoux France
Kerstin Haller United States
Fabian Vandermeers Belgium
C Béraud France
Nicholas Polakowski United States
Yoichi Iwanaga United States
Toyozo Sekiguchi Japan
Sharon L. Cross relative to Shao-Cong Sun United States Shao-Cong Sun's profile →
Citations per field
00.5×1.5×2.2×
Shao-Cong Sun · 1×
Citations per year

Countries citing papers authored by Sharon L. Cross

Since Specialization
Citations

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

Fields of papers citing papers by Sharon L. Cross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Sharon L. Cross, 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 Sharon L. Cross Line = papers co-authored together Sharon L. Cross links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1987384
2 1989176
3 198851
4 199034
5 201029
6 199125
7 198818
8 199010

About Sharon L. Cross

Sharon L. Cross is a scholar working on Immunology, Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 8 papers that have together received 727 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), NF-κB Signaling Pathways (3 papers), Immune Cell Function and Interaction (3 papers), Fungal and yeast genetics research (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Agronomy and Crop Science (271 citations), Immunology (545 citations), Ecology, Evolution, Behavior and Systematics (250 citations), Cancer Research (171 citations) and Virology (20 citations). Sharon L. Cross has collaborated with scholars based in United States. Frequent co-authors include Warren J. Leonard, Flossie Wong‐Staal, Nikki J. Holbrook, Mark B. Feinberg, Julie Wolf, N F Halden, Michael J. Lenardo, M. Mitchell Smith, Mitchell Smith and Robert A. Weiss. Their work appears in journals such as Molecular and Cellular Biology, Cell, Dermatologic Surgery, Proceedings of the National Academy of Sciences and Science.

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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