Johnson Lay

1.3k citations
10 papers · 862 · 1 hit paper · h-index 6

Impact in

Papers in

Johnson Lay

10 papers receiving 845 citations

Johnson Lay's Hit Papers

Multi-stage Differentiation Defines Melanoma Subtypes with Differential Vulnerability to Drug-Induced Iron-Dependent Oxidative Stress 2018 · 583 citations
5830+2+5Years since publication100200300400500

Peers

Johnson Lay
Comparison fields: 5 of 92
  • Cancer Research 254
  • Pulmonary and Respiratory Medicine 309
  • Pharmacology 129
  • Psychiatry and Mental health 115
  • Oncology 199
Replace Gorka Larrinaga with:
Gorka Larrinaga Spain
Rubén W. Carón Argentina
Jocelyn Reader United States
Diana C. Márquez United States
Camilla Cerutti United Kingdom
Marguerite Ball Canada
Pravin Rao United States
Heike Knüpfer Germany
M.W. Ghilchik United Kingdom
Alessandra Decio Italy
Johnson Lay relative to Gorka Larrinaga Spain Gorka Larrinaga's profile →
Citations per field
00.5×3.3×
Gorka Larrinaga · 1×
Citations per year

Countries citing papers authored by Johnson Lay

Since Specialization
Citations

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

Fields of papers citing papers by Johnson Lay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Multi-stage Differentiation Defines Melanoma Subtypes with Differential Vulnerability to Drug-Induced Iron-Dependent Oxidative Stress
Hit paper breakdown →
2018583
2 2015149
3 199448
4 201734
5 198323
6 201618
7 20223
8 20212
9 20231
10 20231

About Johnson Lay

Johnson Lay is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Psychiatry and Mental health, Surgery and Molecular Biology, having authored 10 papers that have together received 862 indexed citations. Recurring topics across this work include Epilepsy research and treatment (3 papers), Amoebic Infections and Treatments (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Blood groups and transfusion (1 paper), Computational Drug Discovery Methods (1 paper), Pleural and Pulmonary Diseases (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Cancer Research (254 citations), Pulmonary and Respiratory Medicine (309 citations), Pharmacology (129 citations), Psychiatry and Mental health (115 citations) and Oncology (199 citations). Johnson Lay has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jennifer Tsoi, Catherine S. Grasso, Daniel Braas, Lídia Robert, Kim H.T. Paraiso, Nicolaos Palaskas, C. Galvan, Xiaoyan Wang, Katherine M. Sheu and Antoni Ribas. Their work appears in journals such as Cancer Cell, Epilepsy & Behavior, The Journal of Pediatrics, Advances in experimental medicine and biology and BJOG An International Journal of Obstetrics & Gynaecology.

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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