Katherine Kazakoff

530 citations
22 papers · 415 indexed · h-index 12
Topics
Pancreatic and Hepatic Oncology Research (8 papers)Pancreatic function and diabetes (7 papers)Neuroendocrine Tumor Research Advances (5 papers)
Partner nations
United StatesJapanSweden

In The Last Decade

Katherine Kazakoff

22 papers receiving 408 citations

Peers

Katherine Kazakoff
Comparison fields: 5 of 49
  • Oncology 244
  • Surgery 218
  • Molecular Biology 180
  • Epidemiology 106
  • Cancer Research 57
Replace Elna T. Kuhlmann with:
Elna T. Kuhlmann United States
Ramona Reichenbach Italy
Ingela Lilja Sweden
John Lasater United States
Kristina Kannisto Sweden
Natalia Shalbueva United States
G. Alpini United States
György Biczó Hungary
Gang Niu China
R Valanzano Italy
Katherine Kazakoff relative to Elna T. Kuhlmann United States Elna T. Kuhlmann's profile →
Citations per field
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Elna T. Kuhlmann · 1×
Citations per year

Countries citing papers authored by Katherine Kazakoff

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Kazakoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Kazakoff

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Kazakoff. A scholar is included among the top collaborators of Katherine Kazakoff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katherine Kazakoff. Katherine Kazakoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 13
3 8
4 5
5
Experimental evidence for the origin of ductal-type adenocarcinoma from the islets of Langerhans.
50
6 32
7 9
8 7
9 9
10 11
11
A new technique for simultaneous demonstration of 4 tumor-associated antigens in pancreatic cancer cells.
16
12 18
13 54
14 8
15 7
16 17
17 9
18 5
19
Effects of high-fat diet on the patterns of prostatic cancer induced in rats by N-nitrosobis(2-oxopropyl)amine and testosterone.
38
20 2

About Katherine Kazakoff

Katherine Kazakoff is a scholar working on Oncology, Cellular and Molecular Neuroscience and Surgery, having authored 22 papers that have together received 415 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (8 papers), Pancreatic function and diabetes (7 papers) and Neuroendocrine Tumor Research Advances (5 papers). The work is most often cited by research in Oncology (244 citations), Surgery (218 citations) and Cancer Research (57 citations). Katherine Kazakoff has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Parviz M. Pour, Johan Permert, Thomas E. Adrian, Hideki Fujii, Kate Groot, Andrew V. Schally, K.M. Anderson, Lamont G. Weide, Yoshito Ikematsu and W. Sanger. Their work appears in journals such as Carcinogenesis, Cancer Letters and American Journal of Clinical Pathology.

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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