Steve E. Kalloger

22.8k citations
101 papers · 6.3k indexed · 1 hit paper · h-index 44

Impact in

Papers in

Steve E. Kalloger

98 papers receiving 6.2k citations

Hit Papers

Ovarian Carcinoma Subtypes Are Different Diseases: Implications for Biomarker Studies 2008 · 618 citations
6182008202620142020200400600

Peers

Steve E. Kalloger
Comparison fields: 5 of 123
  • Reproductive Medicine 2.8k
  • Obstetrics and Gynecology 1.3k
  • Cancer Research 1.4k
  • Oncology 1.7k
  • Pathology and Forensic Medicine 869
Replace Ie−Ming Shih with:
Ie−Ming Shih United States
Helen Mackay Canada
Anthony N. Karnezis United States
Alexandra Léary France
Helga B. Salvesen Norway
Elena Ioana Braicu Germany
Hal W. Hirte Canada
Claes G. Tropé Norway
Martin Köbel Canada
Werner Meier Germany
Steve E. Kalloger relative to Ie−Ming Shih United States Ie−Ming Shih's profile →
Citations per field
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Ie−Ming Shih · 1×
Citations per year

Countries citing papers authored by Steve E. Kalloger

Since Specialization
Citations

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

Fields of papers citing papers by Steve E. Kalloger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20245
3 20241
4 20234
5 20206
6 20198
7 201733
8 201417
9 201437
10 201331
11 201324
12 201218
13 201244
14 201045
15 201063
16 201068
17 2010148
18 2010277
19 200940
20 2007295

About Steve E. Kalloger

Steve E. Kalloger is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 101 papers that have together received 6.3k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (38 papers), Endometrial and Cervical Cancer Treatments (18 papers), Pancreatic and Hepatic Oncology Research (14 papers), Cancer Genomics and Diagnostics (14 papers), BRCA gene mutations in cancer (8 papers), Reproductive System and Pregnancy (8 papers), Endometriosis Research and Treatment (8 papers) and Chromatin Remodeling and Cancer (7 papers). The work is most often cited by research in Reproductive Medicine (2.8k citations), Obstetrics and Gynecology (1.3k citations), Cancer Research (1.4k citations), Oncology (1.7k citations) and Pathology and Forensic Medicine (869 citations). Steve E. Kalloger has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include David G. Huntsman, Martin Köbel, C. Blake Gilks, C. Blake Gilks, Jennifer L. Santos, Kenneth D. Swenerton, Blaise Clarke, Leah Prentice, Dianne Miller and Erika Mehl. Their work appears in journals such as Modern Pathology, International Journal of Gynecological Pathology, The American Journal of Surgical Pathology, The Journal of Pathology and PLoS ONE.

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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