Leo Lin

2.9k citations
27 papers · 1.1k · h-index 14

Impact in

Papers in

    • Evolution and Genetic Dynamics 3
    • Chronic Lymphocytic Leukemia Research 3
    • Bacterial Genetics and Biotechnology 3

Leo Lin

27 papers receiving 1.1k citations

Peers

Leo Lin
Comparison fields: 5 of 93
  • Molecular Medicine 173
  • Microbiology 148
  • Endocrinology 75
  • Applied Microbiology and Biotechnology 20
  • Clinical Biochemistry 57
Replace Fuminori Kato with:
Fuminori Kato Japan
Alejandra Bernardini Spain
Pan F. Chan United Kingdom
Mei‐Ling Han Australia
Nelson C. Soares United Arab Emirates
Jarrod W. Johnson Canada
Jane A. Thanassi United States
Riley L. Svec United States
Silvia Buroni Italy
Julien Vaubourgeix United States
Leo Lin relative to Fuminori Kato Japan Fuminori Kato's profile →
Citations per field
00.5×1.5×2.3×
Fuminori Kato · 1×
Citations per year

Countries citing papers authored by Leo Lin

Since Specialization
Citations

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

Fields of papers citing papers by Leo Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015225
2 2016115
3 2018112
4 201089
5 197589
6 197778
7 197766
8 201650
9 201042
10 201142
11 201929
12 201428
13 202227
14 201813
15 202011
16 201611
17 202210
18 201510
19 20209
20 20187

About Leo Lin

Leo Lin is a scholar working on Molecular Biology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Evolution and Genetic Dynamics (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers), Antimicrobial Peptides and Activities (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Molecular Medicine (173 citations), Microbiology (148 citations), Endocrinology (75 citations), Applied Microbiology and Biotechnology (20 citations) and Clinical Biochemistry (57 citations). Leo Lin has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Gordon Edlin, Victor Nizet, Joshua Olson, N.C.J. Strynadka, Monika Kumaraswamy, Joe Pogliano, George Sakoulas, Poochit Nonejuie, Manfred Rohde and Ross Corriden. Their work appears in journals such as American Journal of Clinical Pathology, Journal of Virology, Journal of Biological Chemistry, Haematologica and Human Pathology.

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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