M. A. Gertz

37 total papers · 1.3k total citations
19 papers, 932 citations indexed

About

M. A. Gertz is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, M. A. Gertz has authored 19 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Hematology and 8 papers in Oncology. Recurrent topics in M. A. Gertz's work include Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Multiple Myeloma Research and Treatments (8 papers) and Cancer Treatment and Pharmacology (5 papers). M. A. Gertz is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Multiple Myeloma Research and Treatments (8 papers) and Cancer Treatment and Pharmacology (5 papers). M. A. Gertz collaborates with scholars based in United States and Italy. M. A. Gertz's co-authors include Robert A. Kyle, Angela Dispenzieri, S. Vincent Rajkumar, Rafaël Fonseca, Martha Q. Lacy, John A. Lust, Philip R. Greipp, Thomas E. Witzig, Tracy L. Leong and S. R. Hayman and has published in prestigious journals such as Journal of Clinical Oncology, Hepatology and Nephrology Dialysis Transplantation.

In The Last Decade

M. A. Gertz

19 papers receiving 917 citations

Author Peers

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

Author						Papers	Cites
M. A. Gertz	628	463	263	219	123	19	932
Jenny Bird	558 0.9×	716 1.5×	373 1.4×	220 1.0×	71 0.6×	17	1.0k
Bouchra Asli	615 1.0×	357 0.8×	124 0.5×	255 1.2×	105 0.9×	30	1.1k
Barbara Hertel	505 0.8×	210 0.5×	195 0.7×	122 0.6×	85 0.7×	14	1.0k
RA Kyle	539 0.9×	540 1.2×	296 1.1×	161 0.7×	73 0.6×	17	824
Ravindra Mylvaganam	256 0.4×	434 0.9×	156 0.6×	156 0.7×	78 0.6×	20	930
M. A. Boogaerts	267 0.4×	822 1.8×	240 0.9×	261 1.2×	69 0.6×	29	1.2k
Sophia Jacob	499 0.8×	473 1.0×	66 0.3×	335 1.5×	88 0.7×	9	1.2k
Eurydiki Michalis	428 0.7×	512 1.1×	340 1.3×	280 1.3×	58 0.5×	24	853
Mauricio Ocqueteau	352 0.6×	617 1.3×	214 0.8×	179 0.8×	23 0.2×	33	932
Jacqueline Vuong	403 0.6×	474 1.0×	102 0.4×	325 1.5×	23 0.2×	12	1.2k

Countries citing papers authored by M. A. Gertz

Since Specialization

Citations

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

Fields of papers citing papers by M. A. Gertz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. A. Gertz

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