Steven Leonardo

468 citations
28 papers · 291 indexed · h-index 9

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Viral-associated cancers and disorders

Papers in

    • Cancer Research and Treatments 5
    • Immune Cell Function and Interaction 5
    • Immune cells in cancer 5
    • Immunotherapy and Immune Responses 4

Steven Leonardo

27 papers receiving 279 citations

Peers

Steven Leonardo
Comparison fields: 5 of 51
  • Immunology 125
  • Oncology 132
  • Infectious Diseases 56
  • Epidemiology 104
  • Biotechnology 11
Replace Andreas Wanisch with:
Andreas Wanisch Germany
Izabela Siemińska Poland
Praveen Prakhar India
Qinyan Li China
Jacqueline Surls United States
Reetakshi Arora United States
Yaping Zhang China
Dingka Song China
Patipark Kueanjinda Thailand
Chakib Boussahmain United States
Steven Leonardo relative to Andreas Wanisch Germany Andreas Wanisch's profile →
Citations per field
00.5×8.3×
Andreas Wanisch · 1×
Citations per year

Countries citing papers authored by Steven Leonardo

Since Specialization
Citations

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

Fields of papers citing papers by Steven Leonardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201912
3 20185
4 20171
5 20172
6 20172
7 201637
8 20166
9 20161
10 20165
11 20157
12 20141
13 20144
14 20141
15 201223
16 201230
17 20101
18 201040
19 201032
20 20091

About Steven Leonardo

Steven Leonardo is a scholar working on Biotechnology, Immunology, Infectious Diseases, Oncology and Toxicology, having authored 28 papers that have together received 291 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (7 papers), Glycosylation and Glycoproteins Research (5 papers), Cancer Research and Treatments (5 papers), Immune Cell Function and Interaction (5 papers), Peptidase Inhibition and Analysis (5 papers), Immune cells in cancer (5 papers), Immunotherapy and Immune Responses (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Immunology (125 citations), Oncology (132 citations), Infectious Diseases (56 citations), Epidemiology (104 citations) and Biotechnology (11 citations). Steven Leonardo has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stephen B. Gauld, Vera L. Tarakanova, Laurent Malherbe, Michael E. Danielson, Tarin M. Bigley, Keith Gorden, Nicholas Hartog, Jeremy R. Graff, Joseph M. Kulinski and Ross B. Fulton. Their work appears in journals such as Cancer Research, The Journal of Immunology, Cancer Immunology Research, Journal of Clinical Oncology and European Journal of 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026