H. Kerner

616 citations
12 papers · 145 · h-index 6

Impact in

    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Gynecological conditions and treatments
    • Endometrial and Cervical Cancer Treatments

Papers in

H. Kerner

10 papers receiving 136 citations

Peers

H. Kerner
Comparison fields: 5 of 52
  • Hepatology 29
  • Obstetrics and Gynecology 27
  • Reproductive Medicine 19
  • Epidemiology 53
  • Radiology, Nuclear Medicine and Imaging 25
Replace Ja Kyung Yoon with:
Ja Kyung Yoon South Korea
Ning Shang China
Thodsawit Tiyarattanachai Thailand
Andrew Williams New Zealand
Matthew R. Woeste United States
Gabriel O Ologun United States
Giulia Peserico Italy
Vijay Kumar Bodal India
Zhiyong Yu China
H. Kerner relative to Ja Kyung Yoon South Korea Ja Kyung Yoon's profile →
Citations per field
00.5×1.5×1.9×
Ja Kyung Yoon · 1×
Citations per year

Countries citing papers authored by H. Kerner

Since Specialization
Citations

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

Fields of papers citing papers by H. Kerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside H. Kerner, 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 H. Kerner Line = papers co-authored together H. Kerner links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200472
2 200021
3 198613
4 199113
5 19957
6 19756
7 19584
8 19584
9 19583
10 20031
11
A comparative study of radioligand (DCC) and modified immunoperoxidase anti-estrogen receptor techniques in breast carcinoma.
19941
12 19560

About H. Kerner

H. Kerner is a scholar working on Epidemiology, Infectious Diseases, Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 12 papers that have together received 145 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Biochemical Acid Research Studies (1 paper), Carbon dioxide utilization in catalysis (1 paper), Abdominal Trauma and Injuries (1 paper), Breast Cancer Treatment Studies (1 paper) and Coenzyme Q10 studies and effects (1 paper). The work is most often cited by research in Hepatology (29 citations), Obstetrics and Gynecology (27 citations), Reproductive Medicine (19 citations), Epidemiology (53 citations) and Radiology, Nuclear Medicine and Imaging (25 citations). H. Kerner has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Haim Azhari, Chaim Lichtig, Diana Gaitini, Eduard Ghersin, Ella Veitsman, Yaacov Baruch, Dan Beck, Amit Agrawal, Allen M. Kaplan and Z. Weiner. Their work appears in journals such as Die Naturwissenschaften, Ultrasound in Medicine & Biology, Postgraduate Medical Journal, Histopathology and Journal of Clinical Microbiology.

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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