David H. Baum

1.7k total citations
51 papers, 1.2k citations indexed

About

David H. Baum is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, David H. Baum has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Animal Science and Zoology, 21 papers in Infectious Diseases and 13 papers in Genetics. Recurrent topics in David H. Baum's work include Animal Virus Infections Studies (25 papers), Viral gastroenteritis research and epidemiology (21 papers) and Virus-based gene therapy research (12 papers). David H. Baum is often cited by papers focused on Animal Virus Infections Studies (25 papers), Viral gastroenteritis research and epidemiology (21 papers) and Virus-based gene therapy research (12 papers). David H. Baum collaborates with scholars based in United States, Spain and Mexico. David H. Baum's co-authors include Michael Yellin, Leonard Chess, L A Joens, Luis G. Giménez‐Lirola, Jeffrey J. Zimmerman, Anne Y. Matsushima, J Brett, D Stern, M Szabolcs and Mary K. Crow and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

David H. Baum

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David H. Baum United States 15 468 335 328 166 155 51 1.2k
Marta Vascellari Italy 23 167 0.4× 341 1.0× 350 1.1× 281 1.7× 93 0.6× 106 1.8k
Ángel Ezquerra Spain 28 1.1k 2.3× 486 1.5× 602 1.8× 399 2.4× 408 2.6× 78 2.1k
Marco Franchini Switzerland 23 431 0.9× 84 0.3× 125 0.4× 263 1.6× 210 1.4× 47 1.5k
Heidi Gerber Switzerland 11 371 0.8× 191 0.6× 144 0.4× 117 0.7× 135 0.9× 14 924
G. Trautwein Germany 18 210 0.4× 300 0.9× 131 0.4× 140 0.8× 460 3.0× 151 1.3k
M. Julia B.F. Flaminio United States 23 454 1.0× 120 0.4× 153 0.5× 115 0.7× 435 2.8× 45 1.5k
P W Bland United Kingdom 26 1.3k 2.8× 285 0.9× 107 0.3× 456 2.7× 93 0.6× 64 2.3k
Joseph Μ. Cummins United States 20 359 0.8× 181 0.5× 161 0.5× 82 0.5× 192 1.2× 45 1.0k
Maria Elena Gelain Italy 23 200 0.4× 182 0.5× 142 0.4× 338 2.0× 107 0.7× 82 1.5k
Elma Tchilian United Kingdom 29 1.3k 2.8× 736 2.2× 157 0.5× 155 0.9× 188 1.2× 85 2.3k

Countries citing papers authored by David H. Baum

Since Specialization
Citations

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

Fields of papers citing papers by David H. Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Baum

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

All Works

20 of 20 papers shown
1.
2.
Mainenti, Marta, Drew R. Magstadt, Phillip C. Gauger, et al.. (2024). Distribution of lesions and detection of influenza A(H5N1) virus, clade 2.3.4.4b, in ante- and postmortem samples from naturally infected domestic cats on U.S. dairy farms. Journal of Veterinary Diagnostic Investigation. 37(1). 27–35. 14 indexed citations
3.
Giménez‐Lirola, Luis G., Jesús Hernández, Rahul K. Nelli, et al.. (2024). Detection and Monitoring of Highly Pathogenic Influenza A Virus 2.3.4.4b Outbreak in Dairy Cattle in the United States. Viruses. 16(9). 1376–1376. 8 indexed citations
4.
5.
Burrough, Eric, Rachel J. Derscheid, Marta Mainenti, Pablo Piñeyro, & David H. Baum. (2024). The diagnostic process for infectious disease diagnosis in animals. Journal of the American Veterinary Medical Association. 263(S1). S6–S16. 4 indexed citations
6.
Poonsuk, Korakrit, Ting‐Yu Cheng, Chris Rademacher, et al.. (2023). Comparison of Two Diagnostic Assays for the Detection of Serum Neutralizing Antibody to Porcine Epidemic Diarrhea Virus. Animals. 13(4). 757–757. 3 indexed citations
7.
Rauh, Rolf, William M. Nelson, Jianqiang Zhang, et al.. (2022). Characterization of the Subclinical Infection of Porcine Deltacoronavirus in Grower Pigs under Experimental Conditions. Viruses. 14(10). 2144–2144. 3 indexed citations
8.
Carrillo-Ávila, José Antonio, Jianqiang Zhang, Ting‐Yu Cheng, et al.. (2022). The N-terminal Subunit of the Porcine Deltacoronavirus Spike Recombinant Protein (S1) Does Not Serologically Cross-react with Other Porcine Coronaviruses. Pathogens. 11(8). 910–910. 1 indexed citations
9.
Ji, Ju, et al.. (2020). Understanding and interpreting PRRSV diagnostics in the context of “disease transition stages”. Research in Veterinary Science. 131. 173–176. 15 indexed citations
10.
Giménez‐Lirola, Luis G., et al.. (2020). Guidelines for oral fluid-based surveillance of viral pathogens in swine. Porcine Health Management. 6(1). 28–28. 52 indexed citations
11.
Houston, E. Fiona, et al.. (2019). Seroprevalence of Senecavirus A in sows and grower-finisher pigs in major swine producing-states in the United States. Preventive Veterinary Medicine. 165. 1–7. 15 indexed citations
12.
Giménez‐Lirola, Luis G., Franco Matías Ferreyra, Korakrit Poonsuk, et al.. (2019). Early detection and differential serodiagnosis of Mycoplasma hyorhinis and Mycoplasma hyosynoviae infections under experimental conditions. PLoS ONE. 14(10). e0223459–e0223459. 9 indexed citations
13.
Giménez‐Lirola, Luis G., Ju Ji, Eric Nelson, et al.. (2018). Serum and mammary secretion antibody responses in porcine epidemic diarrhea-immune gilts following porcine epidemic diarrhea vaccination. Journal of Swine Health and Production. 26(1). 34–40. 9 indexed citations
14.
Rotolo, Marisa, Luis G. Giménez‐Lirola, Ju Ji, et al.. (2017). Detection of porcine reproductive and respiratory syndrome virus (PRRSV)-specific IgM-IgA in oral fluid samples reveals PRRSV infection in the presence of maternal antibody. Veterinary Microbiology. 214. 13–20. 15 indexed citations
15.
Rotolo, Marisa, Yaxuan Sun, Chong Wang, et al.. (2017). Sampling guidelines for oral fluid-based surveys of group-housed animals. Veterinary Microbiology. 209. 20–29. 50 indexed citations
16.
Beran, George W. & David H. Baum. (1998). Food Safety Begins at the Farm. Iowa State University Digital Repository (Iowa State University). 1(1). 5 indexed citations
17.
Baum, David H., et al.. (1998). TNF-α, Not CD154 (CD40L), Plays a Major Role in SEB-Dependent, CD4+T Cell-Induced Endothelial Cell Activationin Vitro. Cellular Immunology. 190(1). 12–22. 6 indexed citations
18.
Yellin, Michael, Vivette D. D’Agati, Anthony M. Szema, et al.. (1997). Immunohistologic analysis of renal CD40 and CD40L expression in lupus nephritis and other glomerulonephritides. Arthritis & Rheumatism. 40(1). 124–134. 138 indexed citations
19.
Joens, L A, et al.. (1980). Immunity to Swine Dysentery in Recovered Pigs. Journal of the American Veterinary Medical Association. 176(6). 529–529. 41 indexed citations
20.
Joens, L A, D. L. Harris, & David H. Baum. (1979). Immunity to Swine Dysentery in Recovered Pigs. American Journal of Veterinary Research. 40(10). 1352–1354. 8 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

Breakdown of academic impact, for papers by Marta Vascellari Breakdown of academic impact, for papers by Ángel Ezquerra Breakdown of academic impact, for papers by Marco Franchini Breakdown of academic impact, for papers by Heidi Gerber Breakdown of academic impact, for papers by G. Trautwein Breakdown of academic impact, for papers by M. Julia B.F. Flaminio Breakdown of academic impact, for papers by P W Bland Breakdown of academic impact, for papers by Joseph Μ. Cummins Breakdown of academic impact, for papers by Maria Elena Gelain Breakdown of academic impact, for papers by Elma Tchilian
Rankless by CCL
2026