Mitko Madjunkov

39 total papers · 464 total citations
13 papers, 230 citations indexed

About

Mitko Madjunkov is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mitko Madjunkov has authored 13 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 4 papers in Genetics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mitko Madjunkov's work include Prenatal Screening and Diagnostics (7 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers) and Reproductive Biology and Fertility (3 papers). Mitko Madjunkov is often cited by papers focused on Prenatal Screening and Diagnostics (7 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers) and Reproductive Biology and Fertility (3 papers). Mitko Madjunkov collaborates with scholars based in Canada, United States and North Macedonia. Mitko Madjunkov's co-authors include Clifford Librach, Michal Dviri, Shinya Ito, Svetlana Madjunkova, Rajiv C. McCoy, Ermanno Greco, Andrea R. Victor, Sergey I. Moskovtsev, Manuel Viotti and Nasser Al‐Asmar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genome Research and Human Reproduction.

In The Last Decade

Mitko Madjunkov

8 papers receiving 216 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mitko Madjunkov 66 64 59 50 41 13 230
Miriam Acunzo 104 1.6× 33 0.5× 73 1.2× 3 0.1× 137 3.3× 14 315
F. S. Stewart 24 0.4× 26 0.4× 138 2.3× 3 0.1× 48 1.2× 15 229
Fung-Wei Chang 27 0.4× 18 0.3× 64 1.1× 3 0.1× 34 0.8× 19 311
Natalie A. Clark 45 0.7× 42 0.7× 97 1.6× 2 0.0× 141 3.4× 16 323
Allison M. Felker 116 1.8× 42 0.7× 47 0.8× 64 1.6× 15 328
Denise Chan 34 0.5× 26 0.4× 38 0.6× 10 0.2× 13 306
Tara I. McIntyre 28 0.4× 20 0.3× 172 2.9× 2 0.0× 6 0.1× 15 331
Juan Zhang 5 0.1× 10 0.2× 58 1.0× 4 0.1× 79 1.9× 15 316
Cathy Watson 20 0.3× 31 0.5× 67 1.1× 1 0.0× 14 0.3× 26 293
Nili Raz 140 2.1× 74 1.2× 115 1.9× 52 1.3× 16 313

Countries citing papers authored by Mitko Madjunkov

Since Specialization
Citations

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

Fields of papers citing papers by Mitko Madjunkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitko Madjunkov

This figure shows the co-authorship network connecting the top 25 collaborators of Mitko Madjunkov. A scholar is included among the top collaborators of Mitko Madjunkov 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 Mitko Madjunkov. Mitko Madjunkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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