Xin Smith

644 citations
10 papers · 559 · h-index 10

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cell Adhesion Molecules Research

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2
    • Cell Adhesion Molecules Research 5

Xin Smith

10 papers receiving 554 citations

Peers

Xin Smith
Comparison fields: 5 of 54
  • Immunology 336
  • Immunology and Allergy 83
  • Oncology 203
  • Epidemiology 144
  • Transplantation 11
Replace Patrick Tan with:
Patrick Tan United States
Kim McKall-Faienza Canada
Yun Hee Cho United States
C E Spooner United States
Divya Mekala United States
JG van de Winkel Germany
Francesc Rudilla Spain
Maria Miasari Australia
Shiyue Hou China
Jinny Kim United Kingdom
Xin Smith relative to Patrick Tan United States Patrick Tan's profile →
Citations per field
00.5×5.8×
Patrick Tan · 1×
Citations per year

Countries citing papers authored by Xin Smith

Since Specialization
Citations

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

Fields of papers citing papers by Xin Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2002141
2 200794
3 201092
4 200071
5 201135
6 200435
7 201332
8 201729
9 201617
10 200813

About Xin Smith

Xin Smith is a scholar working on Immunology, Immunology and Allergy, Oncology, Epidemiology and Cancer Research, having authored 10 papers that have together received 559 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Cell Adhesion Molecules Research (5 papers), Immune Cell Function and Interaction (3 papers), NF-κB Signaling Pathways (2 papers), Immunotherapy and Immune Responses (2 papers), CAR-T cell therapy research (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Immunology (336 citations), Immunology and Allergy (83 citations), Oncology (203 citations), Epidemiology (144 citations) and Transplantation (11 citations). Xin Smith has collaborated with scholars based in United Kingdom, Germany and Malaysia. Frequent co-authors include Christopher E. Rudd, Klaus Strebhardt, Helga Schneider, Hebin Liu, Monika Raab, Yuning Lu, Georges Bismuth, Ulrich H. Koszinowski, J. Pedro Simas and Sofia Marques. Their work appears in journals such as Nature Communications, European Journal of Immunology, Immunology Letters, Journal of Biological Chemistry and Nature Immunology.

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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