K. Rácz

1.6k citations
78 papers · 1.2k · h-index 23

Impact in

Papers in

    • Hormonal Regulation and Hypertension 19
    • Adrenal Hormones and Disorders 14
    • Pituitary Gland Disorders and Treatments 13
    • Growth Hormone and Insulin-like Growth Factors 9
    • Adrenal and Paraganglionic Tumors 8

K. Rácz

76 papers receiving 1.2k citations

Peers

K. Rácz
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 620
  • Behavioral Neuroscience 73
  • Cancer Research 127
  • Cardiology and Cardiovascular Medicine 187
  • Clinical Biochemistry 49
Replace Jingtao Dou with:
Jingtao Dou China
Tham M. Yao United States
Xun Zhang United Kingdom
T Saruta Japan
Angela Barini Italy
K. Nonaka Japan
Vito De Gennaro Colonna Italy
Alex Shimura Yamashita Brazil
Donna Sellers Australia
Christian Frøsig Denmark
K. Rácz relative to Jingtao Dou China Jingtao Dou's profile →
Citations per field
00.5×2.7×
Jingtao Dou · 1×
Citations per year

Countries citing papers authored by K. Rácz

Since Specialization
Citations

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

Fields of papers citing papers by K. Rácz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200466
2 201056
3 201453
4 198552
5 200951
6 200750
7 198045
8 198539
9 200838
10 199336
11 199234
12 200232
13 200932
14 201532
15 199626
16 201826
17 202025
18 200225
19 198725
20 201124

About K. Rácz

K. Rácz is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (19 papers), Adrenal Hormones and Disorders (14 papers), Pituitary Gland Disorders and Treatments (13 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Adrenal and Paraganglionic Tumors (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Balance, Gait, and Falls Prevention (4 papers) and Heart Failure Treatment and Management (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (620 citations), Behavioral Neuroscience (73 citations), Cancer Research (127 citations), Cardiology and Cardiovascular Medicine (187 citations) and Clinical Biochemistry (49 citations). K. Rácz has collaborated with scholars based in Hungary, Canada and Germany. Frequent co-authors include Otto Kuchel, Attila Patócs, Nguyen T. Buu, Edit Gláz, Miklós Tóth, Péter Igaz, Róbert Kiss, Péter M. Szabó, Ivan Varga and Nikolette Szücs. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Osteoporosis International, ESC Heart Failure, Hormone and Metabolic Research and Current Medicinal Chemistry.

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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