John Glod

7.0k citations
86 papers · 3.3k indexed · 1 hit paper · h-index 25

John Glod

84 papers receiving 3.3k citations

Hit Papers

Carcinoma-Associated Fibroblast–Like Differentiation of H...7332008202620142020200400600

Peers

John Glod
Comparison fields: 5 of 110
  • Genetics 1.1k
  • Oncology 1.3k
  • Cancer Research 701
  • Immunology 418
  • Molecular Biology 1.4k
Replace Venkata Lokesh Battula with:
Venkata Lokesh Battula United States
Joy Gumin United States
Giulia Grisendi Italy
Brett M. Hall United States
Bruno Larrivée Canada
Naoki Shinojima Japan
Zhao Sun China
Gloria Invernici Italy
Marica Eoli Italy
Mark E. Kleinman United States
John Glod relative to Venkata Lokesh Battula United States Venkata Lokesh Battula's profile →
Citations per field
00.5×1.5×
Venkata Lokesh Battula · 1×
Citations per year

Countries citing papers authored by John Glod

Since Specialization
Citations

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

Fields of papers citing papers by John Glod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 202331
4 20232
5 20226
6 202210
7 2021104
8 202021
9 201958
10 201814
11 201720
12 20162
13 201273
14 2012112
15 20116
16 2011142
17
Carcinoma-Associated Fibroblast–Like Differentiation of Human Mesenchymal Stem Cellsbreakdown →
2008733
18 20072
19 200613
20 200371

About John Glod

John Glod is a scholar working on Genetics, Neurology, Cancer Research, Oncology and Endocrinology, Diabetes and Metabolism, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (16 papers), Sarcoma Diagnosis and Treatment (15 papers), Glioma Diagnosis and Treatment (14 papers), Cancer, Hypoxia, and Metabolism (14 papers), Mesenchymal stem cell research (11 papers), Thyroid Cancer Diagnosis and Treatment (11 papers), Neuroendocrine Tumor Research Advances (8 papers) and CAR-T cell therapy research (8 papers). The work is most often cited by research in Genetics (1.1k citations), Oncology (1.3k citations), Cancer Research (701 citations), Immunology (418 citations) and Molecular Biology (1.4k citations). John Glod has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Debabrata Banerjee, Pravin J. Mishra, Prasun Mishra, Daniel Medina, Jill P. Mesirov, Gabriela Alexe, Rita Humeniuk, Hui Gao, Sonia C. Picinich and Kevin Anton. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Cancer Research, The Journal of Clinical Endocrinology & Metabolism and Experimental Cell Research.

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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