Jovan Shepherd

720 citations
7 papers · 530 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 2
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Phagocytosis and Immune Regulation 1

Jovan Shepherd

7 papers receiving 526 citations

Peers

Jovan Shepherd
Comparison fields: 5 of 53
  • Cancer Research 294
  • Immunology 241
  • Molecular Biology 303
  • Rheumatology 28
  • Oncology 40
Replace Katarzyna Smigielska‐Czepiel with:
Katarzyna Smigielska‐Czepiel Netherlands
Maoyi Lai United States
Arianna Bertossi Germany
Lian‐Ju Li China
Isabel Meininger Germany
J. Christoph Vahl Germany
Rushi S. Patel United States
Katharina M. Jeltsch Germany
Haili Cui United States
Azam Zariff United States
Jovan Shepherd relative to Katarzyna Smigielska‐Czepiel Netherlands Katarzyna Smigielska‐Czepiel's profile →
Citations per field
00.5×1.6×
Katarzyna Smigielska‐Czepiel · 1×
Citations per year

Countries citing papers authored by Jovan Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Jovan Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jovan Shepherd. 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 Jovan Shepherd. The network helps show where Jovan Shepherd may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2013144
2 2013113
3 2016110
4 201659
5 201652
6 201540
7 202112

About Jovan Shepherd

Jovan Shepherd is a scholar working on Cancer Research, Immunology, Molecular Biology, Epidemiology and Infectious Diseases, having authored 7 papers that have together received 530 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Immune Cell Function and Interaction (3 papers), Cancer-related molecular mechanisms research (2 papers), T-cell and B-cell Immunology (2 papers), Circular RNAs in diseases (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Cancer Research (294 citations), Immunology (241 citations), Molecular Biology (303 citations), Rheumatology (28 citations) and Oncology (40 citations). Jovan Shepherd has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Changchun Xiao, Hyun Yong Jin, Maoyi Lai, Seung Goo Kang, Wen‐Hsien Liu, Alicia González-Martín, David Nemazee, Hiroyo Oda, John R. Teijaro and Peiwen Lu. Their work appears in journals such as Nature Immunology, Science Advances, The Journal of Experimental Medicine, The EMBO Journal 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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