K. Ajika

684 citations
15 papers · 540 indexed · h-index 9

Impact in

Papers in

K. Ajika

15 papers receiving 503 citations

Peers

K. Ajika
Comparison fields: 5 of 65
  • Behavioral Neuroscience 91
  • Reproductive Medicine 199
  • Endocrine and Autonomic Systems 125
  • Cellular and Molecular Neuroscience 167
  • Endocrinology, Diabetes and Metabolism 120
Replace G Sétáló with:
G Sétáló Hungary
Anders Löfström Sweden
B Flerkó Hungary
OK Rönnekleiv United States
Béla Flerkó Hungary
M.M. Miller Canada
Donald Dubé Canada
Gayle Nicholson United States
Micheline Vial France
Phyllis Callahan United States
K. Ajika relative to G Sétáló Hungary G Sétáló's profile →
Citations per field
00.5×1.5×
G Sétáló · 1×
Citations per year

Countries citing papers authored by K. Ajika

Since Specialization
Citations

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

Fields of papers citing papers by K. Ajika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside K. Ajika, 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. Ajika Line = papers co-authored together K. Ajika links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 19856
2 198410
3
Simultaneous localization of LHRH and catecholamines in rat hypothalamus.
197964
4
Serotonergic projections to the suprachiasmatic nucleus and the median eminence of the rat: identification by fluorescence and electron microscope.
197822
5 197530
6 1973134
7 19734
8 197274
9 197287
10 19726
11 197179
12 19701
13
Ultrafine structure of the developing median eminence and pars nervosa of the rat.
19691
14 19694
15 196818

About K. Ajika

K. Ajika is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Endocrine and Autonomic Systems and Biochemistry, having authored 15 papers that have together received 540 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Hypothalamic control of reproductive hormones (4 papers), Pregnancy and preeclampsia studies (2 papers), Ovarian function and disorders (2 papers), Biochemical effects in animals (2 papers), Amino Acid Enzymes and Metabolism (1 paper), Barrier Structure and Function Studies (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Behavioral Neuroscience (91 citations), Reproductive Medicine (199 citations), Endocrine and Autonomic Systems (125 citations), Cellular and Molecular Neuroscience (167 citations) and Endocrinology, Diabetes and Metabolism (120 citations). K. Ajika has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Tomas Hökfelt, L. Krulich, Samuel M. McCann, C. P. Fawcett, S. P. Kalra, Junzo Ochi, T. Kobayashi, Takuro Kobayashi, Kōichi Yamamoto and Kiyoshi Arai. Their work appears in journals such as Placenta, Endocrinology, Brain Research, Cell and Tissue Research and Advances in experimental medicine and biology.

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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