Mark E. Costlow

46 papers receiving 1.3k citations

Peers

Mark E. Costlow
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 394
  • Genetics 579
  • Cancer Research 147
  • Reproductive Medicine 78
  • Oncology 250
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Teresa N. Faria United States
Vincent P. Hollander United States
Yutaka Shizuta Japan
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Max Fehlmann France
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Charles W. Garner United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark E. Costlow

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Costlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Costlow. 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 Mark E. Costlow. The network helps show where Mark E. Costlow may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975382
2 1975110
3 197578
4 197474
5
Glucocorticoid receptors in childhood acute lymphocytic leukemia.
198262
6 197757
7 198550
8 198447
9 198247
10 197641
11 197441
12 197738
13 197337
14
Changes in membrane function and chromatin template activity in diploid and transformed cells in culture.
197329
15
Prolactin and estrogen binding in transplantable hormone-dependent and autonomous rat mammary carcinoma.
197528
16
Prolactin receptors and androgen-induced regression of 7,12-dimethylbenz(a)anthracene-induced mammary carcinoma.
197624
17 198423
18 197523
19 198621
20 198220

About Mark E. Costlow

Mark E. Costlow is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Acute Lymphoblastic Leukemia research (9 papers), Acute Myeloid Leukemia Research (5 papers), Neuroblastoma Research and Treatments (4 papers), Hypothalamic control of reproductive hormones (3 papers), melanin and skin pigmentation (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (394 citations), Genetics (579 citations), Cancer Research (147 citations), Reproductive Medicine (78 citations) and Oncology (250 citations). Mark E. Costlow has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include William McGuire, Kathryn B. Horwitz, Ching‐Hon Pui, Gary C. Chamness, Gary V. Dahl, Patricia E. Gallagher, Renato Baserga, Gaston K. Rivera, David K. Kalwinsky and Sharon B. Murphy. Their work appears in journals such as Leukemia Research, Journal of Cellular Physiology, Experimental Cell Research, Journal of Biological Chemistry and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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