Steven Witte

817 citations
9 papers · 546 · h-index 9

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Cytokine Signaling Pathways and Interactions
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 4
    • IL-33, ST2, and ILC Pathways 3
    • Immunodeficiency and Autoimmune Disorders 2
    • T-cell and B-cell Immunology 2
    • Immunotherapy and Immune Responses 1
    • Genomics and Chromatin Dynamics 1

Steven Witte

9 papers receiving 544 citations

Peers

Steven Witte
Comparison fields: 5 of 82
  • Immunology 317
  • Oncology 94
  • Developmental Neuroscience 13
  • Neurology 24
  • Cancer Research 42
Replace Susann Schönefeldt with:
Susann Schönefeldt Belgium
Elizabeth R. Walsh United States
Xuelian Hu China
Jinlin Miao China
Klaus Gossens Canada
Marianna Greco Italy
Haihui Gu China
Justina McEvoy United States
Dominika Lukas Germany
Steven Witte relative to Susann Schönefeldt Belgium Susann Schönefeldt's profile →
Citations per field
00.5×1.5×2.0×
Susann Schönefeldt · 1×
Citations per year

Countries citing papers authored by Steven Witte

Since Specialization
Citations

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

Fields of papers citing papers by Steven Witte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2018165
2 2020118
3 202091
4 201538
5 201537
6 201534
7 201426
8 202225
9 201812

About Steven Witte

Steven Witte is a scholar working on Immunology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 546 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), T-cell and B-cell Immunology (2 papers), MicroRNA in disease regulation (1 paper), Immunotherapy and Immune Responses (1 paper), Genomics and Chromatin Dynamics (1 paper) and Whipple's Disease and Interleukins (1 paper). The work is most often cited by research in Immunology (317 citations), Oncology (94 citations), Developmental Neuroscience (13 citations), Neurology (24 citations) and Cancer Research (42 citations). Steven Witte has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robin D. Hatton, Casey T. Weaver, Daniel DiToro, Stefan A. Muljo, Carlene L. Zindl, Henrietta Turner, Min Gao, Stacey N. Harbour, Jeffrey R. Singer and Golnaz Vahedi. Their work appears in journals such as Immunity, BMC Genomics, Science Immunology, Science and Stem Cell Research & Therapy.

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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