K. Katz

609 total citations
8 papers, 468 citations indexed

About

K. Katz is a scholar working on Epidemiology, Microbiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, K. Katz has authored 8 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Microbiology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in K. Katz's work include Pneumonia and Respiratory Infections (3 papers), Neonatal and fetal brain pathology (2 papers) and Respiratory viral infections research (2 papers). K. Katz is often cited by papers focused on Pneumonia and Respiratory Infections (3 papers), Neonatal and fetal brain pathology (2 papers) and Respiratory viral infections research (2 papers). K. Katz collaborates with scholars based in United States, Italy and United Kingdom. K. Katz's co-authors include Michael Shepherd, D. C. Watt, Donna Maglott, Roger G. Ptak, Kim D. Pruitt, Brigitte E. Sanders-Beer, Wen Fu, Chonnamet Techasaensiri, R. Doug Hardy and Claudia Tagliabue and has published in prestigious journals such as Nucleic Acids Research, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

K. Katz

8 papers receiving 448 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
K. Katz United States	6	140	127	105	89	66	8	468
Beth R. Larrabee United States	18	167 1.2×	68 0.5×	254 2.4×	26 0.3×	5 0.1×	31	725
Manisha Dubey India	14	40 0.3×	53 0.4×	134 1.3×	20 0.2×	3 0.0×	43	523
Enrique Villegas Spain	5	38 0.3×	35 0.3×	93 0.9×	21 0.2×	4 0.1×	10	251
R.P. Parry United Kingdom	9	43 0.3×	84 0.7×	131 1.2×	6 0.1×	10 0.2×	13	406
Stephen Vreden French Guiana	18	60 0.4×	203 1.6×	114 1.1×	25 0.3×	7 0.1×	73	1.0k
Eduardo A Leiderman Argentina	10	43 0.3×	65 0.5×	162 1.5×	5 0.1×	13 0.2×	39	487
Michael Povey Belgium	10	6 0.0×	125 1.0×	198 1.9×	18 0.2×	43 0.7×	31	355
Carl E. Speck United States	8	19 0.1×	161 1.3×	133 1.3×	204 2.3×	2 0.0×	9	649
Ivana Rubino United States	8	60 0.4×	79 0.6×	54 0.5×	9 0.1×	10 0.2×	11	267
Sabrina Berens Germany	10	59 0.4×	42 0.3×	27 0.3×	6 0.1×	12 0.2×	18	271

Countries citing papers authored by K. Katz

Since Specialization

Citations

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

Fields of papers citing papers by K. Katz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Katz

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

All Works

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8 of 8 papers shown

Brady, James E., et al.. (2024). Machine learning to identify structural motifs in asphaltenes. Results in Chemistry. 7. 101551–101551. 1 indexed citations

Tagliabue, Claudia, Chonnamet Techasaensiri, Juan Pablo Torres, et al.. (2011). Efficacy of increasing dosages of clarithromycin for treatment of experimental Mycoplasma pneumoniae pneumonia. Journal of Antimicrobial Chemotherapy. 66(10). 2323–2329. 15 indexed citations

Salvatore, Christine M., Chonnamet Techasaensiri, Claudia Tagliabue, et al.. (2009). Tigecycline Therapy Significantly Reduces the Concentrations of Inflammatory Pulmonary Cytokines and Chemokines in a Murine Model of Mycoplasma pneumoniae Pneumonia. Antimicrobial Agents and Chemotherapy. 53(4). 1546–1551. 31 indexed citations

Tagliabue, Claudia, Christine M. Salvatore, Chonnamet Techasaensiri, et al.. (2008). The Impact of Steroids Given with Macrolide Therapy on ExperimentalMycoplasma pneumoniaeRespiratory Infection. The Journal of Infectious Diseases. 198(8). 1180–1188. 68 indexed citations

Fu, Wen, Brigitte E. Sanders-Beer, K. Katz, et al.. (2008). Human immunodeficiency virus type 1, human protein interaction database at NCBI. Nucleic Acids Research. 37(Database). D417–D422. 188 indexed citations

Katz, K., Lilly Dubowitz, Saras Henderson, et al.. (1996). Effect of Cerebral Lesions on Continuous Performance Test Responses of School Age Children Born Prematurely. Journal of Pediatric Psychology. 21(6). 841–855. 24 indexed citations

Katz, K., et al.. (1996). Effect of Cerebral Lesions on Continuous Performance Test Responses of School Age Children Born Prematurely. Journal of Pediatric Psychology. 21(6). 841–855. 3 indexed citations

Watt, D. C., K. Katz, & Michael Shepherd. (1983). The natural history of schizophrenia: a 5-year prospective follow-up of a representative sample of schizophrenics by means of a standardized clinical and social assessment. Psychological Medicine. 13(3). 663–670. 138 indexed citations

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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