Daniel Borja–Cacho

38 papers receiving 1.1k citations

Peers

Daniel Borja–Cacho
Comparison fields: 5 of 85
  • Complementary and alternative medicine 400
  • Hepatology 77
  • Molecular Biology 628
  • Oncology 231
  • Biochemistry 46
Replace Masaki Katayama with:
Masaki Katayama Japan
Huijie Guo China
Guangjuan Zheng China
Yongqian Shu China
Ziqiao Yuan China
Xin Dong China
Hesheng Luo China
Norimasa Miura Japan
Wieland Voigt Germany
Daniel Borja–Cacho relative to Masaki Katayama Japan Masaki Katayama's profile →
Citations per field
00.5×2.9×
Masaki Katayama · 1×
Citations per year

Countries citing papers authored by Daniel Borja–Cacho

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Borja–Cacho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Borja–Cacho. 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 Daniel Borja–Cacho. The network helps show where Daniel Borja–Cacho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007262
2 2010148
3 2011135
4 200994
5 200978
6 200962
7 200847
8 201046
9 201045
10 200939
11 201030
12 202325
13 201911
14 202211
15 200610
16 200910
17 20098
18 20238
19 20218
20
MT477 acts in tumor cells as an AURKA inhibitor and strongly induces NRF-2 signaling.
20117

About Daniel Borja–Cacho

Daniel Borja–Cacho is a scholar working on Surgery, Molecular Biology, Hepatology, Oncology and Complementary and alternative medicine, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (11 papers), Cell death mechanisms and regulation (10 papers), Organ Transplantation Techniques and Outcomes (10 papers), Natural Compounds in Disease Treatment (8 papers), Pancreatic and Hepatic Oncology Research (8 papers), Organ Donation and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Gallbladder and Bile Duct Disorders (4 papers). The work is most often cited by research in Complementary and alternative medicine (400 citations), Hepatology (77 citations), Molecular Biology (628 citations), Oncology (231 citations) and Biochemistry (46 citations). Daniel Borja–Cacho has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Selwyn M. Vickers, Ashok K. Saluja, Vikas Dudeja, Phoebe A. Phillips, Rajinder Dawra, Rohit Chugh, Veena Sangwan, Mara B. Antonoff, William E. Grizzle and Joshua A. McCarroll. Their work appears in journals such as Journal of Surgical Research, Pancreas, Journal of Gastrointestinal Surgery, Gastroenterology and Journal of the American College of Surgeons.

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.

Explore authors with similar magnitude of impact