K.K. Piotrowska-Tomala

572 citations
34 papers · 450 indexed · h-index 13
Topics
Reproductive Physiology in Livestock (25 papers)Reproductive System and Pregnancy (13 papers)Reproductive Biology and Fertility (7 papers)
Partner nations
PolandJapanPortugal

In The Last Decade

K.K. Piotrowska-Tomala

33 papers receiving 445 citations

Peers

K.K. Piotrowska-Tomala
Comparison fields: 5 of 64
  • Agronomy and Crop Science 306
  • Immunology 173
  • Genetics 97
  • Molecular Biology 88
  • Reproductive Medicine 65
Replace Masami Shibaya with:
Masami Shibaya Japan
Mamadou M. Bah Poland
António Galvão Poland
TJ Acosta Japan
Guoyao Wu United States
Patrick J. Silva United States
Aydın Güzeloğlu Türkiye
Fumie Magata Japan
M. A. Diekman United States
B. Löhrke Germany
K.K. Piotrowska-Tomala relative to Masami Shibaya Japan Masami Shibaya's profile →
Citations per field
00.5×7.5×
Masami Shibaya · 1×
Citations per year

Countries citing papers authored by K.K. Piotrowska-Tomala

Since Specialization
Citations

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

Fields of papers citing papers by K.K. Piotrowska-Tomala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.K. Piotrowska-Tomala

This figure shows the co-authorship network connecting the top 25 collaborators of K.K. Piotrowska-Tomala. A scholar is included among the top collaborators of K.K. Piotrowska-Tomala based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K.K. Piotrowska-Tomala. K.K. Piotrowska-Tomala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 1
5 6
6 11
7 7
8 20
9 1
10 12
11 7
12 27
13 16
14 10
15 19
16 7
17 29
18 3
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20 37

About K.K. Piotrowska-Tomala

K.K. Piotrowska-Tomala is a scholar working on Agronomy and Crop Science, Equine and Immunology, having authored 34 papers that have together received 450 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (25 papers), Reproductive System and Pregnancy (13 papers) and Reproductive Biology and Fertility (7 papers). The work is most often cited by research in Agronomy and Crop Science (306 citations), Equine (46 citations) and Immunology (173 citations). K.K. Piotrowska-Tomala has collaborated with scholars based in Poland, Japan and Portugal. Frequent co-authors include Dariusz J. Skarżyński, Kiyoshi Okuda, Mamadou M. Bah, Izabela Wocławek-Potocka, Anna Szóstek‐Mioduchowska, Anna J. Korzekwa, António Galvão, Tomás J. Acosta, Shuko Murakami and Mariusz K. Piskuła. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Dairy Science.

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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