Kip E. Guja

881 citations
28 papers · 694 · h-index 15

Impact in

  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism
    • Mitochondrial Function and Pathology
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Steroid Chemistry and Biochemistry
    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry

Papers in

Kip E. Guja

27 papers receiving 685 citations

Peers

Kip E. Guja
Comparison fields: 5 of 82
  • Pharmacology 68
  • Molecular Biology 494
  • Clinical Biochemistry 26
  • Cancer Research 53
  • Molecular Medicine 17
Replace Junichi Enokizono with:
Junichi Enokizono Japan
Aditi Mulgaonkar United States
Yusuke Nakamura Japan
Lian Qian United States
Sebastian Reichert Germany
Mohd M. Khan United States
Dongyan Cai China
Gl Scherphof United States
Teng Wang China
Kip E. Guja relative to Junichi Enokizono Japan Junichi Enokizono's profile →
Citations per field
00.5×3.6×
Junichi Enokizono · 1×
Citations per year

Countries citing papers authored by Kip E. Guja

Since Specialization
Citations

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

Fields of papers citing papers by Kip E. Guja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kip E. Guja. 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 Kip E. Guja. The network helps show where Kip E. Guja may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 200880
3 201260
4 201958
5 201555
6 201455
7 201441
8 201632
9 201631
10 201726
11 201123
12 201321
13 201518
14 200817
15 201816
16 201614
17 201413
18 20229
19 20219
20 20136

About Kip E. Guja

Kip E. Guja is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology and Infectious Diseases, having authored 28 papers that have together received 694 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), DNA Repair Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Prostate Cancer Treatment and Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Pharmacology (68 citations), Molecular Biology (494 citations), Clinical Biochemistry (26 citations), Cancer Research (53 citations) and Molecular Medicine (17 citations). Kip E. Guja has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Miguel García–Díaz, Joel F. Schildbach, Brian J. Anderson, Nicole S. Sampson, Meng Yang, Edison Mejía, Elena Yakubovskaya, Andrei Iagaru, Woo Suk Choi and Hong Song. Their work appears in journals such as Seminars in Nuclear Medicine, Nucleic Acids Research, PLoS ONE, ACS Chemical Biology and The EMBO 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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