Daniel M. Czyż

55 total papers · 4.7k total citations
30 papers, 575 citations indexed

About

Daniel M. Czyż is a scholar working on Molecular Biology, Endocrinology and Small Animals. According to data from OpenAlex, Daniel M. Czyż has authored 30 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Endocrinology and 7 papers in Small Animals. Recurrent topics in Daniel M. Czyż's work include Brucella: diagnosis, epidemiology, treatment (7 papers), Escherichia coli research studies (5 papers) and Gut microbiota and health (4 papers). Daniel M. Czyż is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (7 papers), Escherichia coli research studies (5 papers) and Gut microbiota and health (4 papers). Daniel M. Czyż collaborates with scholars based in United States, Netherlands and Nepal. Daniel M. Czyż's co-authors include Sean Crosson, Jonathan W. Willett, Richard I. Morimoto, Patrick D. McMullen, Klaus Richter, Eric Guisbert, Howard A. Shuman, Supram Hosuru Subramanya, H. Humphreys and Krishna Prasad Acharya and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Daniel M. Czyż

28 papers receiving 562 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel M. Czyż 229 87 79 74 64 30 575
Haiming Jing 203 0.9× 135 1.6× 96 1.2× 31 0.4× 16 0.3× 37 664
Violeta Chávez 274 1.2× 44 0.5× 66 0.8× 217 2.9× 9 0.1× 15 623
Jenn‐Wei Chen 198 0.9× 102 1.2× 65 0.8× 6 0.1× 36 0.6× 38 541
Muhammad Attiq Rehman 311 1.4× 36 0.4× 23 0.3× 18 0.2× 14 0.2× 30 627
Nirpendra Singh 230 1.0× 163 1.9× 56 0.7× 22 0.3× 5 0.1× 29 571
Ruoqiong Cao 183 0.8× 261 3.0× 108 1.4× 34 0.5× 45 0.7× 21 691
Dina A. Moustafa 382 1.7× 41 0.5× 21 0.3× 9 0.1× 21 0.3× 25 528
Kazuo Hashimoto 172 0.8× 55 0.6× 99 1.3× 10 0.1× 8 0.1× 51 502
Helene H. Jensen 321 1.4× 49 0.6× 33 0.4× 8 0.1× 11 0.2× 30 561
Víctor Antonio García-Angulo 228 1.0× 25 0.3× 45 0.6× 24 0.3× 4 0.1× 24 554

Countries citing papers authored by Daniel M. Czyż

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Czyż

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Czyż. 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 Daniel M. Czyż. The network helps show where Daniel M. Czyż may publish in the future.

Co-authorship network of co-authors of Daniel M. Czyż

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Czyż. A scholar is included among the top collaborators of Daniel M. Czyż 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 Daniel M. Czyż. Daniel M. Czyż 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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