Andrew Getahun

68 total papers · 2.3k total citations
49 papers, 1.7k citations indexed

About

Andrew Getahun is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew Getahun has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Immunology, 17 papers in Molecular Biology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew Getahun's work include T-cell and B-cell Immunology (25 papers), Immune Cell Function and Interaction (21 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). Andrew Getahun is often cited by papers focused on T-cell and B-cell Immunology (25 papers), Immune Cell Function and Interaction (21 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). Andrew Getahun collaborates with scholars based in United States, Sweden and Germany. Andrew Getahun's co-authors include John C. Cambier, Birgitta Heyman, Fredrik Hjelm, Yuval Yarkoni, Mia J. Smith, Fredrik Carlsson, Jörgen Dahlström, Sara Wernersson, Mikael C. I. Karlsson and Mark J. Shlomchik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Andrew Getahun

48 papers receiving 1.7k citations

Author Peers

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

Author						Papers	Cites
Andrew Getahun	1.1k	527	365	207	148	49	1.7k
Federico Pratesi	1.1k 1.0×	650 1.2×	352 1.0×	148 0.7×	177 1.2×	71	2.3k
J André-Schwartz	1.2k 1.1×	474 0.9×	750 2.1×	259 1.3×	150 1.0×	34	2.0k
Marianna M. Newkirk	707 0.6×	594 1.1×	702 1.9×	146 0.7×	209 1.4×	64	2.1k
P M Lydyard	1.0k 0.9×	301 0.6×	231 0.6×	110 0.5×	182 1.2×	49	1.6k
J T Kurnick	1.4k 1.3×	355 0.7×	410 1.1×	167 0.8×	308 2.1×	37	2.1k
A. Darise Farris	1.0k 0.9×	515 1.0×	293 0.8×	236 1.1×	239 1.6×	68	1.9k
G. J. Thorbecke	1.0k 0.9×	409 0.8×	267 0.7×	143 0.7×	202 1.4×	90	1.7k
Sandra Weller	1.5k 1.4×	421 0.8×	212 0.6×	128 0.6×	173 1.2×	30	2.1k
Gerhild Wildner	855 0.8×	426 0.8×	306 0.8×	139 0.7×	157 1.1×	88	2.4k
Masayuki Kuraoka	1.2k 1.1×	450 0.9×	260 0.7×	203 1.0×	129 0.9×	44	1.8k

Countries citing papers authored by Andrew Getahun

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Getahun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Getahun

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