Imre Repa

1.2k citations
79 papers · 875 · h-index 15

Impact in

Papers in

Imre Repa

76 papers receiving 840 citations

Peers

Imre Repa
Comparison fields: 5 of 108
  • Radiology, Nuclear Medicine and Imaging 227
  • Otorhinolaryngology 39
  • Endocrinology, Diabetes and Metabolism 119
  • Genetics 63
  • Cancer Research 63
Replace Greg Ward with:
Greg Ward Australia
Tang China
Minjae Kim South Korea
Walter M. Jay United States
Maria Cristina Chavantes Brazil
Kaiyu Wang China
Shwu‐Jiuan Sheu Taiwan
Michael M. McDowell United States
Imre Repa relative to Greg Ward Australia Greg Ward's profile →
Citations per field
00.5×3.9×
Greg Ward · 1×
Citations per year

Countries citing papers authored by Imre Repa

Since Specialization
Citations

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

Fields of papers citing papers by Imre Repa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001136
2
18F-FDG PET detection of lymph node metastases in medullary thyroid carcinoma.
2002116
3 202040
4 200439
5 200231
6 200331
7 200121
8 202021
9 200421
10 200020
11
Interaction of Bordetella bronchiseptica, Pasteurella multocida, and fumonisin B1 in the porcine respiratory tract as studied by computed tomography.
201119
12 202117
13 201615
14 200814
15 199914
16 200113
17 201113
18 201513
19 201412
20 199812

About Imre Repa

Imre Repa is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Animal Science and Zoology and Genetics, having authored 79 papers that have together received 875 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Advanced Radiotherapy Techniques (10 papers), Medical Imaging Techniques and Applications (7 papers), Glioma Diagnosis and Treatment (7 papers), Mycotoxins in Agriculture and Food (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Meat and Animal Product Quality (5 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (227 citations), Otorhinolaryngology (39 citations), Endocrinology, Diabetes and Metabolism (119 citations), Genetics (63 citations) and Cancer Research (63 citations). Imre Repa has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Gábor Bajzik, Péter Bogner, Árṕad Kov́acs, Olga Ésik, Lajos Trón, István Sinkovics, Yoshiaki Mamata, Hatsuho Mamata, Szabolcs Szakáll and Robert V. Mulkern. Their work appears in journals such as Pathology & Oncology Research, Pediatric Research, Frontiers in Oncology, Journal of Cardiovascular Pharmacology and Strahlentherapie und Onkologie.

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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