K.N. Chi

2.5k citations
77 papers · 1.6k · h-index 17

Impact in

Papers in

K.N. Chi

69 papers receiving 1.6k citations

Peers

K.N. Chi
Comparison fields: 5 of 61
  • Pulmonary and Respiratory Medicine 1.1k
  • Oncology 570
  • Cancer Research 289
  • Radiology, Nuclear Medicine and Imaging 294
  • Hematology 76
Replace Rosa Nadal with:
Rosa Nadal United States
Martin Boegemann Germany
Pasquale Rescigno Italy
Kathryn P. Gray United States
Tony Elliott United Kingdom
Fabian Zohren United States
Xiao X. Wei United States
Alejo Rodríguez‐Vida Spain
Ruth Riisnaes United Kingdom
Kevin Beja Canada
K.N. Chi relative to Rosa Nadal United States Rosa Nadal's profile →
Citations per field
00.5×1.5×1.9×
Rosa Nadal · 1×
Citations per year

Countries citing papers authored by K.N. Chi

Since Specialization
Citations

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

Fields of papers citing papers by K.N. Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.N. Chi. 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 K.N. Chi. The network helps show where K.N. Chi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013259
2 2003197
3 2005169
4 2014103
5 2015100
6 201681
7 201781
8 201973
9 201172
10 202369
11 200356
12 201955
13 200438
14 201226
15 202023
16 200423
17 200918
18 201914
19 202013
20 20068

About K.N. Chi

K.N. Chi is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Molecular Biology, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (51 papers), Radiopharmaceutical Chemistry and Applications (20 papers), Cancer, Lipids, and Metabolism (9 papers), PARP inhibition in cancer therapy (9 papers), Cancer Genomics and Diagnostics (7 papers), Cancer Treatment and Pharmacology (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Bladder and Urothelial Cancer Treatments (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Oncology (570 citations), Cancer Research (289 citations), Radiology, Nuclear Medicine and Imaging (294 citations) and Hematology (76 citations). K.N. Chi has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Scott North, Susan Ellard, Andrew J. Armstrong, Krista Noonan, Rhonda L. Bitting, Eric Winquist, D. Scott Ernst, Malcolm J. Moore, Fred Saad and Karim Fizazi. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, European Journal of Cancer, Breast Cancer Research and Treatment and Clinical Oncology.

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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