Murray Kimmel

2.7k total citations · 1 hit paper
5 papers, 604 citations indexed

About

Murray Kimmel is a scholar working on Epidemiology, Infectious Diseases and Microbiology. According to data from OpenAlex, Murray Kimmel has authored 5 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 2 papers in Infectious Diseases and 2 papers in Microbiology. Recurrent topics in Murray Kimmel's work include Respiratory viral infections research (2 papers), Pneumonia and Respiratory Infections (2 papers) and Bacterial Infections and Vaccines (2 papers). Murray Kimmel is often cited by papers focused on Respiratory viral infections research (2 papers), Pneumonia and Respiratory Infections (2 papers) and Bacterial Infections and Vaccines (2 papers). Murray Kimmel collaborates with scholars based in United States, Poland and Netherlands. Murray Kimmel's co-authors include Victoria Landolfi, Richard Nathan, Andrew J. Dunning, Richard Pollak, Carlos A. DiazGranados, H. Keipp Talbot, Avi Collins, David P. Greenberg, Michael D. Decker and Nadia Tornieporth and has published in prestigious journals such as New England Journal of Medicine, Vaccine and Human Vaccines & Immunotherapeutics.

In The Last Decade

Murray Kimmel

5 papers receiving 592 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Efficacy of High-Dose versus Standard-Dose Influenza Vaccine in Older Adults

2014 549 citations Carlos A. DiazGranados, Andrew J. Dunning et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Murray Kimmel United States	4	461	147	117	111	63	5	604
Richard Nathan United States	6	526 1.1×	239 1.6×	119 1.0×	113 1.0×	54 0.9×	7	666
Kwok‐Hung Chan Hong Kong	15	596 1.3×	193 1.3×	100 0.9×	68 0.6×	43 0.7×	22	651
Jose Capellan Canada	4	474 1.0×	170 1.2×	152 1.3×	71 0.6×	59 0.9×	5	540
Wendy Sessions United States	11	662 1.4×	313 2.1×	119 1.0×	70 0.6×	105 1.7×	17	826
Sirapa Klinfueng Thailand	15	349 0.8×	349 2.4×	47 0.4×	88 0.8×	69 1.1×	42	660
Jingshan Zheng China	10	469 1.0×	222 1.5×	112 1.0×	213 1.9×	33 0.5×	16	607
Claudio Giuseppe Molteni Italy	10	275 0.6×	110 0.7×	97 0.8×	18 0.2×	44 0.7×	13	420
Anna Maria Iorio Italy	13	344 0.7×	102 0.7×	290 2.5×	32 0.3×	96 1.5×	22	654
Abel E. Vásquez Chile	10	169 0.4×	188 1.3×	304 2.6×	47 0.4×	87 1.4×	25	556
Lien Anh Ha Australia	14	601 1.3×	249 1.7×	300 2.6×	22 0.2×	122 1.9×	38	862

Countries citing papers authored by Murray Kimmel

Since Specialization

Citations

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

Fields of papers citing papers by Murray Kimmel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murray Kimmel

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Vesikari, Timo, Jerzy Brzostek, Marita Paassilta, et al.. (2021). Immunogenicity and safety of different schedules of the meningococcal ABCWY vaccine, with assessment of long-term antibody persistence and booster responses – results from two phase 2b randomized trials in adolescents. Human Vaccines & Immunotherapeutics. 17(11). 4689–4700. 7 indexed citations

2.

Brandon, Donald M., Murray Kimmel, Sherine Kuriyakose, Lusiné Kostanyan, & Narcisa Mesaros. (2018). Antibody persistence and safety and immunogenicity of a second booster dose nine years after a first booster vaccination with a reduced antigen diphtheria-tetanus-acellular pertussis vaccine (Tdap) in adults. Vaccine. 36(42). 6325–6333. 10 indexed citations

3.

DiazGranados, Carlos A., Andrew J. Dunning, Murray Kimmel, et al.. (2014). Efficacy of High-Dose versus Standard-Dose Influenza Vaccine in Older Adults. New England Journal of Medicine. 371(7). 635–645. 549 indexed citations breakdown →

4.

Latus, Joerg, et al.. (2012). BK virus nephropathy and immunosuppression: the non-transplant setting.. PubMed. 64(3). 223–4. 1 indexed citations

5.

Kimmel, Murray, et al.. (2010). A controlled clinical trial to evaluate the effect of GanedenBC30on immunological markers. Methods and Findings in Experimental and Clinical Pharmacology. 32(2). 129–129. 37 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.

Explore authors with similar magnitude of impact