Kris M. Shekitka

2.8k citations
30 papers · 2.0k indexed · h-index 21
Topics
Neuroendocrine Tumor Research Advances (6 papers)Soft tissue tumor case studies (4 papers)Neuroblastoma Research and Treatments (4 papers)
Partner nations
United StatesCanada

In The Last Decade

Kris M. Shekitka

30 papers receiving 1.9k citations

Peers

Kris M. Shekitka
Comparison fields: 5 of 73
  • Surgery 813
  • Oncology 703
  • Epidemiology 588
  • Neurology 522
  • Rheumatology 443
Replace Inga‐Marie Schaefer with:
Inga‐Marie Schaefer United States
John J. Brooks United States
Yumi Oshiro Japan
Jun Soga Japan
C. C. Wang United States
P C Buetow United States
J L Buck United States
Karl T. K. Chen United States
F Ferrozzi Italy
Michal Zámečník Czechia
Kris M. Shekitka relative to Inga‐Marie Schaefer United States Inga‐Marie Schaefer's profile →
Citations per field
00.5×1.5×2.2×
Inga‐Marie Schaefer · 1×
Citations per year

Countries citing papers authored by Kris M. Shekitka

Since Specialization
Citations

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

Fields of papers citing papers by Kris M. Shekitka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kris M. Shekitka. 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 Kris M. Shekitka. The network helps show where Kris M. Shekitka may publish in the future.

Co-authorship network of co-authors of Kris M. Shekitka

This figure shows the co-authorship network connecting the top 25 collaborators of Kris M. Shekitka. A scholar is included among the top collaborators of Kris M. Shekitka 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 Kris M. Shekitka. Kris M. Shekitka 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
THE GROSS ANATOMY AND HISTOLOGY OF THE INFRAPATELLAR PLICA, CENTRAL BODY AND FAT PAD SUGGESTS THAT THEY FUNCTION AS AN ENTHESIS ORGAN
1
2 5
3 15
4 96
5 71
6 95
7 173
8 1
9 123
10 52
11 30
12 48
13
Dysplasia of the stomach and Barrett esophagus: a follow-up study.
28
14
Peritoneal mesothelioma. Radiologic appearances correlated with histology.
23
15 5
16 107
17 39
18
Lymphoepithelial carcinoma of the stomach with Epstein-Barr virus demonstrated by polymerase chain reaction.
319
19 74
20 34

About Kris M. Shekitka

Kris M. Shekitka is a scholar working on Gastroenterology, Rheumatology and Neurology, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (6 papers), Soft tissue tumor case studies (4 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Gastroenterology (367 citations), Neurology (522 citations) and Rheumatology (443 citations). Kris M. Shekitka has collaborated with scholars based in United States and Canada. Frequent co-authors include Leslie H. Sobin, Allen Burke, Birgitte Federspiel, L H Sobin, Elson B. Helwig, T. S. Benedict Yen, Markku Miettinen, Fattaneh A. Tavassoli, Joseph T. Rabban and Charles Zaloudek. Their work appears in journals such as Cancer, Radiology and The FASEB Journal.

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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