Daniel Djakiew

74 papers receiving 3.6k citations

Peers

Daniel Djakiew
Comparison fields: 5 of 123
  • Reproductive Medicine 752
  • Cellular and Molecular Neuroscience 791
  • Cancer Research 378
  • Oncology 610
  • Molecular Biology 1.4k
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Citations per year

Countries citing papers authored by Daniel Djakiew

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Djakiew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004460
2
Epidermal growth factor promotes MDA-MB-231 breast cancer cell migration through a phosphatidylinositol 3'-kinase and phospholipase C-dependent mechanism.
1999200
3 1986149
4 2000143
5
Regulation of growth by a nerve growth factor-like protein which modulates paracrine interactions between a neoplastic epithelial cell line and stromal cells of the human prostate.
1991122
6
Reduced expression of the low affinity nerve growth factor receptor in benign and malignant human prostate tissue and loss of expression in four human metastatic prostate tumor cell lines.
1992101
7
Cell cycle-independent death of prostate adenocarcinoma is induced by the trk tyrosine kinase inhibitor CEP-751 (KT6587).
1998100
8 198893
9 199588
10 200185
11 200182
12 199282
13 200481
14 199779
15 198765
16 200265
17 199759
18 199857
19
Chemotaxis and chemokinesis of human prostate tumor cell lines in response to human prostate stromal cell secretory proteins containing a nerve growth factor-like protein.
199357
20 199756

About Daniel Djakiew

Daniel Djakiew is a scholar working on Molecular Biology, Reproductive Medicine, Cellular and Molecular Neuroscience, Oncology and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 3.8k indexed citations. Recurring topics across this work include Sperm and Testicular Function (23 papers), Nerve injury and regeneration (14 papers), Neuropeptides and Animal Physiology (11 papers), Prostate Cancer Treatment and Research (10 papers), Reproductive Biology and Fertility (8 papers), Inflammatory mediators and NSAID effects (7 papers), Hormonal and reproductive studies (6 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Reproductive Medicine (752 citations), Cellular and Molecular Neuroscience (791 citations), Cancer Research (378 citations), Oncology (610 citations) and Molecular Biology (1.4k citations). Daniel Djakiew has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Martin Dym, Makoto Onoda, John H. Lynch, Fatima Khwaja, Stephen W. Byers, Beth R. Pflug, Mark A. Hadley, Robert Delsite, Erik W. Thompson and B R Pflug. Their work appears in journals such as The Prostate, Journal of Andrology, Molecular and Cellular Endocrinology, Biology of Reproduction and Molecular Carcinogenesis.

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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