M.J. Lechuga

656 citations
18 papers · 351 · h-index 10

Impact in

Papers in

M.J. Lechuga

18 papers receiving 342 citations

Peers

M.J. Lechuga
Comparison fields: 5 of 59
  • Hepatology 57
  • Endocrinology, Diabetes and Metabolism 98
  • Cancer Research 77
  • Pulmonary and Respiratory Medicine 130
  • Endocrine and Autonomic Systems 21
Replace Toshiya Soma with:
Toshiya Soma Japan
Brigitte Van Eyll Brazil
Andrew Do United States
Candace Wise United States
Lily Jih United States
Caroline Ward United Kingdom
Nobuto Okamoto Japan
Madeleine Themanns Austria
Rebecca L. Cox United States
Sheila L. Morris United States
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Citations per field
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Citations per year

Countries citing papers authored by M.J. Lechuga

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Lechuga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J. Lechuga. 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 M.J. Lechuga. The network helps show where M.J. Lechuga may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013111
2 198967
3 200749
4 201320
5 198919
6 201215
7 200714
8 199012
9 198811
10 198810
11 20087
12 20024
13 20074
14 20073
15 20072
16
Effect of enzyme inhibitors and of LHRH analogs on androgen metabolism in human prostate
19881
17 19781
18 20111

About M.J. Lechuga

M.J. Lechuga is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 18 papers that have together received 351 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (6 papers), Gastric Cancer Management and Outcomes (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Lung Cancer Treatments and Mutations (3 papers), Hormonal and reproductive studies (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Hepatology (57 citations), Endocrinology, Diabetes and Metabolism (98 citations), Cancer Research (77 citations), Pulmonary and Respiratory Medicine (130 citations) and Endocrine and Autonomic Systems (21 citations). M.J. Lechuga has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Xun Lin, Robin Wiltshire, Beata Korytowsky, Ana M. Molina, Ewa Matczak, Robert J. Motzer, Jesús Devesa, Luis Lima, Vı́ctor M. Arce and Noemi Lois. Their work appears in journals such as Journal of Clinical Oncology, Investigational New Drugs, European Journal of Endocrinology, European Journal of Cancer and Annals of the New York Academy of Sciences.

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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