Alina Baum

12.0k total citations · 1 hit paper
14 papers, 1.5k citations indexed

About

Alina Baum is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Alina Baum has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Alina Baum's work include interferon and immune responses (8 papers), Immune Response and Inflammation (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Alina Baum is often cited by papers focused on interferon and immune responses (8 papers), Immune Response and Inflammation (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Alina Baum collaborates with scholars based in United States, Czechia and South Korea. Alina Baum's co-authors include Adolfo Garcı́a-Sastre, Ravi Sachidanandam, Christos A. Kyratsous, Gurinder S. Atwal, Richard Copin, Benjamin O. Fulton, Neil Stahl, Kristen E. Pascal, Stephanie Giordano and Kathryn Lanza and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Alina Baum

13 papers receiving 1.5k 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.

Antibody cocktail to SARS-CoV-2 spike protein prevents rapid mutational escape seen with individual antibodies

2020 719 citations Alina Baum, Benjamin O. Fulton et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alina Baum United States	9	887	617	464	323	177	14	1.5k
Yi-Min Zheng United States	21	1.0k 1.2×	486 0.8×	468 1.0×	262 0.8×	192 1.1×	35	1.6k
Puck B. van Kasteren Netherlands	15	451 0.5×	355 0.6×	300 0.6×	214 0.7×	158 0.9×	32	1.0k
Adam D. Nitido United States	10	1.9k 2.1×	384 0.6×	536 1.2×	112 0.3×	339 1.9×	10	2.2k
Bobo Wing-Yee Mok Hong Kong	22	697 0.8×	346 0.6×	451 1.0×	425 1.3×	128 0.7×	34	1.5k
Joseph G. Jardine United States	11	652 0.7×	751 1.2×	707 1.5×	258 0.8×	75 0.4×	20	1.7k
Rachel Eguia United States	12	1.3k 1.5×	195 0.3×	446 1.0×	192 0.6×	232 1.3×	13	1.6k
Florian Douam United States	21	568 0.6×	274 0.4×	309 0.7×	317 1.0×	59 0.3×	37	1.2k
Syed M. Moin United States	19	586 0.7×	467 0.8×	359 0.8×	977 3.0×	73 0.4×	22	1.6k
Matthew Angel United States	20	471 0.5×	479 0.8×	300 0.6×	930 2.9×	101 0.6×	31	1.4k
Elena Giorgi United States	17	651 0.7×	246 0.4×	288 0.6×	327 1.0×	90 0.5×	43	1.3k

Countries citing papers authored by Alina Baum

Since Specialization

Citations

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

Fields of papers citing papers by Alina Baum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alina Baum

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

All Works

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14 of 14 papers shown

Lee, Hana, Biying Xu, Derek D.C. Ireland, et al.. (2024). Ebola virus-induced eye sequelae: a murine model for evaluating glycoprotein-targeting therapeutics. EBioMedicine. 104. 105170–105170.

Gayvert, Kaitlyn, Sheldon McKay, Wei Keat Lim, et al.. (2023). Evolutionary trajectory of SARS-CoV-2 genome shifts during widespread vaccination and emergence of Omicron variant. PubMed. 1(1). 5–5. 7 indexed citations

Ram, Priyanka, Navpreet Tung, Kah-Whye Peng, et al.. (2022). 851 Voyager V1 (VV1) oncolytic virus combined with immune checkpoint therapy boosts CTL responses to multiple tumor antigens and correspondingly deepens tumor responses in murine models of melanoma, lung and colon cancer. Regular and Young Investigator Award Abstracts. A890–A890. 1 indexed citations

Al‐Huniti, Nidal, John D. Davis, Alina Baum, et al.. (2022). A drug‐disease model for predicting survival in an Ebola outbreak. Clinical and Translational Science. 15(10). 2538–2550. 5 indexed citations

Baum, Alina & Christos A. Kyratsous. (2021). SARS-CoV-2 spike therapeutic antibodies in the age of variants. The Journal of Experimental Medicine. 218(5). 8 indexed citations

Baum, Alina, Benjamin O. Fulton, Elzbieta Wloga, et al.. (2020). Antibody cocktail to SARS-CoV-2 spike protein prevents rapid mutational escape seen with individual antibodies. Science. 369(6506). 1014–1018. 719 indexed citations breakdown →

Doğanay, Sultan, Alina Baum, Joo-Yeon Yoo, et al.. (2017). Single-cell analysis of early antiviral gene expression reveals a determinant of stochastic IFNB1 expression. Integrative Biology. 9(11). 857–867. 15 indexed citations

Sánchez-Aparicio, María Teresa, Dominique Garcin, Charles M. Rice, et al.. (2017). Loss of Sendai virus C protein leads to accumulation of RIG-I immunostimulatory defective interfering RNA. Journal of General Virology. 98(6). 1282–1293. 22 indexed citations

Sparrer, Konstantin M. J., Charlotte Lässig, Katharina Hembach, et al.. (2014). In Vivo Ligands of MDA5 and RIG-I in Measles Virus-Infected Cells. PLoS Pathogens. 10(4). e1004081–e1004081. 107 indexed citations

10.

Patel, Jenish, Ankur Jain, Yi‐ying Chou, et al.. (2013). ATPase‐driven oligomerization of RIG‐I on RNA allows optimal activation of type‐I interferon. EMBO Reports. 14(9). 780–787. 101 indexed citations

11.

Belicha‐Villanueva, Alan, Juan R. Rodríguez-Madoz, Jad Maamary, et al.. (2012). Recombinant Influenza A Viruses with Enhanced Levels of PB1 and PA Viral Protein Expression. Journal of Virology. 86(10). 5926–5930. 16 indexed citations

12.

Baum, Alina & Adolfo Garcı́a-Sastre. (2011). Differential recognition of viral RNA by RIG-I. Virulence. 2(2). 166–169. 51 indexed citations

13.

Baum, Alina, Ravi Sachidanandam, & Adolfo Garcı́a-Sastre. (2010). Preference of RIG-I for short viral RNA molecules in infected cells revealed by next-generation sequencing. Proceedings of the National Academy of Sciences. 107(37). 16303–16308. 339 indexed citations

14.

Baum, Alina & Adolfo Garcı́a-Sastre. (2009). Induction of type I interferon by RNA viruses: cellular receptors and their substrates. Amino Acids. 38(5). 1283–1299. 108 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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