A Jíndra

809 citations
61 papers · 564 · h-index 12

Impact in

Papers in

A Jíndra

57 papers receiving 510 citations

Peers

A Jíndra
Comparison fields: 5 of 93
  • Behavioral Neuroscience 42
  • Cardiology and Cardiovascular Medicine 188
  • Endocrinology, Diabetes and Metabolism 133
  • Biochemistry 32
  • Pharmacology 67
Replace George W. Kittinger with:
George W. Kittinger United States
SHIGERU AONUMA Japan
A N Dohadwalla India
T. C. Huang United States
Christopher J. H. Woodward United Kingdom
Anne E. Goodbody United Kingdom
Begoña Cantabrana Spain
Ferreira Sh Brazil
H. G. Beger Germany
Ilaria Demori Italy
A Jíndra relative to George W. Kittinger United States George W. Kittinger's profile →
Citations per field
00.5×10×
George W. Kittinger · 1×
Citations per year

Countries citing papers authored by A Jíndra

Since Specialization
Citations

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

Fields of papers citing papers by A Jíndra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200185
2 200259
3 197255
4 195646
5 198237
6 198421
7 198620
8 199919
9 196818
10 200015
11 200211
12 196611
13
Metabolic, humoral and haemodynamic characteristics of normotensive offspring from hypertensive families.
199611
14 200410
15 20019
16 20009
17 19659
18 19528
19 19688
20 19518

About A Jíndra

A Jíndra is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Organic Chemistry, having authored 61 papers that have together received 564 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (8 papers), Renin-Angiotensin System Studies (5 papers), Blood Pressure and Hypertension Studies (4 papers), Diet and metabolism studies (4 papers), Steroid Chemistry and Biochemistry (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Chemical synthesis and alkaloids (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). The work is most often cited by research in Behavioral Neuroscience (42 citations), Cardiology and Cardiovascular Medicine (188 citations), Endocrinology, Diabetes and Metabolism (133 citations), Biochemistry (32 citations) and Pharmacology (67 citations). A Jíndra has collaborated with scholars based in Czechia, Slovakia and United States. Frequent co-authors include M Jáchymová, K Horký, Jan Peleška, Richard Květňanský, Jan Bultas, Viktor Kožich, Pavel Martásek, James E. Robbers, Heinz G. Floss and Larry W. Robertson. Their work appears in journals such as Planta Medica, Blood Pressure, Journal of Hypertension, Phytochemistry and Cellular and Molecular Life Sciences.

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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