Michael Conner
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
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- Cancer Cells and Metastasis
Papers in
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- Wnt/β-catenin signaling in development and cancer 1
- Hedgehog Signaling Pathway Studies 1
- Renal and related cancers 1
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- Reproductive System and Pregnancy 2
- Galectins and Cancer Biology 1
- Co-authors
- Ronald D. Alvarez (2 shared papers)Charles N. Landen (2 shared papers)Kui Zhang (1 shared paper)Kerri S. Bevis (1 shared paper)Adam D. Steg (1 shared paper)Ashwini A. Katre (1 shared paper)Zachary C. Dobbin (1 shared paper)Angela Ziebarth (1 shared paper)
- Journals
- American Journal of Obstetrics and Gynecology (2 papers)Clinical Cancer Research (1 paper)Gynecologic Oncology (1 paper)Biology of Reproduction (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Conner
6 papers receiving 546 citations
Peers
Comparison fields: 5 of 69
- Reproductive Medicine 106
- Oncology 213
- Cancer Research 103
- Molecular Biology 338
- Endocrinology, Diabetes and Metabolism 75
Countries citing papers authored by Michael Conner
This map shows the geographic impact of Michael Conner'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 Michael Conner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Conner more than expected).
Fields of papers citing papers by Michael Conner
This network shows the impact of papers produced by Michael Conner. 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 Michael Conner. The network helps show where Michael Conner may publish in the future.
Co-authors
The 23 scholars most cited alongside Michael Conner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 304 | |
| 2 | 2014 | 140 | |
| 3 | 2004 | 80 | |
| 4 | 2005 | 25 | |
| 5 | 2006 | 3 | |
| 6 | 2006 | 2 |
About Michael Conner
Michael Conner is a scholar working on Molecular Biology, Immunology, Epidemiology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 6 papers that have together received 554 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (2 papers), Preterm Birth and Chorioamnionitis (2 papers), Galectins and Cancer Biology (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Hedgehog Signaling Pathway Studies (1 paper), Renal and related cancers (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Reproductive Medicine (106 citations), Oncology (213 citations), Cancer Research (103 citations), Molecular Biology (338 citations) and Endocrinology, Diabetes and Metabolism (75 citations). Michael Conner has collaborated with scholars based in United States. Frequent co-authors include Ronald D. Alvarez, Charles N. Landen, Kui Zhang, Kerri S. Bevis, Adam D. Steg, Ashwini A. Katre, Zachary C. Dobbin, Angela Ziebarth, Ming Jian and C. Richard Parker. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Clinical Cancer Research, Gynecologic Oncology, Biology of Reproduction and The Journal of Clinical Endocrinology & Metabolism.
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.