A Jíndra

810 citations
64 papers · 645 · h-index 12

Impact in

Papers in

A Jíndra

59 papers receiving 563 citations

Peers

A Jíndra
Comparison fields: 5 of 95
  • Behavioral Neuroscience 40
  • Cardiology and Cardiovascular Medicine 147
  • Endocrinology, Diabetes and Metabolism 105
  • Pharmacology 69
  • Biochemistry 31
Replace SHIGERU AONUMA with:
SHIGERU AONUMA Japan
A N Dohadwalla India
Anne E. Goodbody United Kingdom
T. C. Huang United States
K Lorentz Germany
Begoña Cantabrana Spain
John S. Charnock Australia
Bianka Bojková Slovakia
Richard J L Bondar United States
Gabriella Cargnelli Italy
A Jíndra relative to SHIGERU AONUMA Japan SHIGERU AONUMA's profile →
Citations per field
00.5×7.5×
SHIGERU AONUMA · 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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200186
2 195672
3 197263
4 200260
5 198237
6 198423
7 196822
8 198620
9 199919
10 196617
11 200015
12 196814
13 196511
14 195111
15 200211
16
Metabolic, humoral and haemodynamic characteristics of normotensive offspring from hypertensive families.
199611
17 200010
18 200410
19 20019
20 19529

About A Jíndra

A Jíndra is a scholar working on Molecular Biology, Organic Chemistry, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 64 papers that have together received 645 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Renin-Angiotensin System Studies (5 papers), Steroid Chemistry and Biochemistry (4 papers), Chemical synthesis and alkaloids (4 papers), Diet and metabolism studies (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Biochemical and biochemical processes (2 papers). The work is most often cited by research in Behavioral Neuroscience (40 citations), Cardiology and Cardiovascular Medicine (147 citations), Endocrinology, Diabetes and Metabolism (105 citations), Pharmacology (69 citations) and Biochemistry (31 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, Péter Kovács, Heinz G. Floss, James E. Robbers, Larry W. Robertson and Viktor Kožich. 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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