Kai Brown

502 citations
16 papers · 296 · h-index 9

Impact in

    • Hepatocellular Carcinoma Treatment and Prognosis
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Colorectal Cancer Treatments and Studies

Papers in

    • Infectious Aortic and Vascular Conditions 1
    • Case Reports on Hematomas 1
    • Pancreatic and Hepatic Oncology Research 4
    • COVID-19 and healthcare impacts 1

Kai Brown

12 papers receiving 295 citations

Peers

Kai Brown
Comparison fields: 5 of 59
  • Hepatology 43
  • Oncology 113
  • Endocrinology, Diabetes and Metabolism 48
  • Biochemistry 19
  • Cancer Research 22
Replace Seita Kataoka with:
Seita Kataoka Japan
Hideyuki Takata Japan
Matthias Ludwig Germany
Yangqiu Bai China
Jocelyn Zoll United States
Huimin Zou China
Fabricio Souza United States
Takafumi Tamura Japan
Sotaro Naoi Japan
Annika Janefeldt Sweden
Kai Brown relative to Seita Kataoka Japan Seita Kataoka's profile →
Citations per field
00.5×10×15×
Seita Kataoka · 1×
Citations per year

Countries citing papers authored by Kai Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kai Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200576
2 201660
3 201848
4 201648
5 202023
6 20189
7 20199
8 20138
9 20218
10 20165
11 20221
12
Oesophageal cancer: don’t miss the early signs
20151
13 20240
14 20240
15 20250
16 20130

About Kai Brown

Kai Brown is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Hepatology and Infectious Diseases, having authored 16 papers that have together received 296 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Aortic aneurysm repair treatments (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper), Aortic Disease and Treatment Approaches (1 paper), Infectious Aortic and Vascular Conditions (1 paper), COVID-19 and healthcare impacts (1 paper) and Case Reports on Hematomas (1 paper). The work is most often cited by research in Hepatology (43 citations), Oncology (113 citations), Endocrinology, Diabetes and Metabolism (48 citations), Biochemistry (19 citations) and Cancer Research (22 citations). Kai Brown has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Jaswinder S. Samra, Anubhav Mittal, Thomas J. Hugh, Ross C. Smith, William J. Hadden, Aiqun Xue, Philip R. de Reuver, Anthony J. Gill, Susan D. Aster and James M. Schaeffer. Their work appears in journals such as ANZ Journal of Surgery, HPB, Cancer Medicine, Oncotarget and Hernia.

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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