J. A. Gutierrez

647 citations
9 papers · 559 indexed · h-index 9
Topics
Immune cells in cancer (3 papers)Amino Acid Enzymes and Metabolism (2 papers)Neuroscience and Neuropharmacology Research (2 papers)
Partner nations
United States

In The Last Decade

J. A. Gutierrez

9 papers receiving 544 citations

Peers

J. A. Gutierrez
Comparison fields: 5 of 76
  • Oncology 264
  • Immunology 200
  • Molecular Biology 172
  • Genetics 88
  • Rheumatology 68
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Baoxia Dong China
Gayathri Swaminathan United States
Shiho Kodama Japan
Graham Craggs United Kingdom
Marie Cambot France
Patrick W. Faloon United States
Cristina Vanni Italy
Hideo Takeshima Japan
Gabriella Proietti Italy
Dorota Moroziewicz United States
J. A. Gutierrez relative to Baoxia Dong China Baoxia Dong's profile →
Citations per field
00.5×1.5×1.8×
Baoxia Dong · 1×
Citations per year

Countries citing papers authored by J. A. Gutierrez

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Gutierrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. A. Gutierrez

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Gutierrez. A scholar is included among the top collaborators of J. A. Gutierrez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. A. Gutierrez. J. A. Gutierrez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 13
2 56
3 26
4 39
5
Meningiomas: analysis of loss of heterozygosity on chromosome 10 in tumor progression and the delineation of four regions of chromosomal deletion in common with other cancers.
20
6 12
7
Identification and localization of the cytokine SDF1 and its receptor, CXC chemokine receptor 4, to regions of necrosis and angiogenesis in human glioblastoma.
317
8
Ultrastructural study of methionine sulfoximine-induced Alzheimer type II astrocytosis.
34
9 42

About J. A. Gutierrez

J. A. Gutierrez is a scholar working on Biochemistry, Rheumatology and Endocrine and Autonomic Systems, having authored 9 papers that have together received 559 indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Oncology (264 citations), Immunology (200 citations) and Genetics (88 citations). J. A. Gutierrez has collaborated with scholars based in United States. Frequent co-authors include Sandra A. Rempel, Shugang Ge, M. D. Norenberg, Nancy Lemke, Lonni Schultz, Stacey L. Thomas, Ridwan Alam, Ezekiell Mouzon, William Golembieski and Chad R. Schultz. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Neuro-Oncology and Brain 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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