Daniel A. Kaczor

9 total papers · 463 total citations
6 papers, 359 citations indexed

About

Daniel A. Kaczor is a scholar working on Surgery, Rheumatology and Hematology. According to data from OpenAlex, Daniel A. Kaczor has authored 6 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Rheumatology and 2 papers in Hematology. Recurrent topics in Daniel A. Kaczor's work include Systemic Lupus Erythematosus Research (2 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and Platelet Disorders and Treatments (2 papers). Daniel A. Kaczor is often cited by papers focused on Systemic Lupus Erythematosus Research (2 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and Platelet Disorders and Treatments (2 papers). Daniel A. Kaczor collaborates with scholars based in United States. Daniel A. Kaczor's co-authors include Douglas A. Triplett, John T. Brandt, François Depasse, Connie H. Miller, Richard A. Krasuski, Charles L. Campbell, David L. McGlasson and Leah Fink and has published in prestigious journals such as Thrombosis and Haemostasis, American Journal of Clinical Pathology and Blood Coagulation & Fibrinolysis.

In The Last Decade

Daniel A. Kaczor

6 papers receiving 349 citations

Author Peers

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

Author						Papers	Cites
Daniel A. Kaczor	217	213	63	55	45	6	359
Graciela S Cerrato	171 0.8×	221 1.0×	67 1.1×	51 0.9×	35 0.8×	11	302
Erika Chang	141 0.6×	268 1.3×	43 0.7×	79 1.4×	48 1.1×	9	323
Mercedes Pérez-Conesa	98 0.5×	186 0.9×	39 0.6×	58 1.1×	58 1.3×	8	302
M. Vanrusselt	242 1.1×	182 0.9×	84 1.3×	38 0.7×	39 0.9×	9	327
Vinicius Domingues	136 0.6×	264 1.2×	29 0.5×	49 0.9×	60 1.3×	12	333
Miguel Ángel Plasín	152 0.7×	279 1.3×	26 0.4×	95 1.7×	68 1.5×	7	392
O Amengual	172 0.8×	247 1.2×	18 0.3×	103 1.9×	61 1.4×	7	319
Christian L. Stallworth	99 0.5×	193 0.9×	19 0.3×	75 1.4×	32 0.7×	6	302
Gonzalo Pombo	169 0.8×	189 0.9×	36 0.6×	22 0.4×	63 1.4×	10	302
RL Brey	90 0.4×	252 1.2×	34 0.5×	79 1.4×	21 0.5×	9	309

Countries citing papers authored by Daniel A. Kaczor

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A. Kaczor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Kaczor

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