Mark Horn

509 total citations
8 papers, 432 citations indexed

About

Mark Horn is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Mark Horn has authored 8 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Mark Horn's work include Virus-based gene therapy research (6 papers), Viral gastroenteritis research and epidemiology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Mark Horn is often cited by papers focused on Virus-based gene therapy research (6 papers), Viral gastroenteritis research and epidemiology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Mark Horn collaborates with scholars based in United Kingdom, United States and Netherlands. Mark Horn's co-authors include Suganto Sutjipto, Paul Shabram, Barry J. Sugarman, Bernard Huyghe, Carl J. Scandella, Xiaodong Liu, H. Michael Shepard, Mary H. Nunnally, Richard J. Gregory and C. Chandra Kumar and has published in prestigious journals such as PLoS Biology, Virology and Molecular Therapy.

In The Last Decade

Mark Horn

8 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Horn United Kingdom	7	317	308	144	98	43	8	432
Marianne G. Rots Netherlands	11	283 0.9×	336 1.1×	144 1.0×	52 0.5×	42 1.0×	14	426
Huguette Schultz France	9	309 1.0×	309 1.0×	102 0.7×	93 0.9×	22 0.5×	11	440
Raúl Alba United Kingdom	11	397 1.3×	458 1.5×	190 1.3×	124 1.3×	31 0.7×	15	570
Matthias Hebben France	9	308 1.0×	296 1.0×	89 0.6×	83 0.8×	12 0.3×	11	406
Bruno Gaillet Canada	12	395 1.2×	249 0.8×	82 0.6×	68 0.7×	17 0.4×	25	506
Lynda K. Hawkins United States	11	377 1.2×	457 1.5×	240 1.7×	64 0.7×	118 2.7×	13	535
Shohei Miyamoto Japan	10	163 0.5×	257 0.8×	191 1.3×	64 0.7×	48 1.1×	16	392
Bernard Avalosse Belgium	11	207 0.7×	334 1.1×	83 0.6×	195 2.0×	13 0.3×	18	476
Heshan Sam Zhou United States	12	244 0.8×	245 0.8×	138 1.0×	59 0.6×	54 1.3×	18	372
Kamola Saydaminova United States	9	296 0.9×	176 0.6×	91 0.6×	30 0.3×	14 0.3×	10	379

Countries citing papers authored by Mark Horn

Since Specialization

Citations

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

Fields of papers citing papers by Mark Horn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Horn

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

All Works

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8 of 8 papers shown

1.

Wang, Hui, Joshua B. White, Cindy Huynh, et al.. (2025). Structural elucidation of the haptoglobin–hemoglobin clearance mechanism by macrophage scavenger receptor CD163. PLoS Biology. 23(7). e3003264–e3003264. 1 indexed citations

2.

Machemer, Todd, Heidrun Engler, Van Tsai, et al.. (2005). Characterization of Hemodynamic Events Following Intravascular Infusion of Recombinant Adenovirus Reveals Possible Solutions for Mitigating Cardiovascular Responses. Molecular Therapy. 12(2). 254–263. 13 indexed citations

3.

Howe, John A., Peter Pelka, Murali Ramachandra, et al.. (2005). Matching complementing functions of transformed cells with stable expression of selected viral genes for production of E1-deleted adenovirus vectors. Virology. 345(1). 220–230. 7 indexed citations

4.

Sutjipto, Suganto, et al.. (2005). Characterization of Empty Capsids from a Conditionally Replicating Adenovirus for Gene Therapy. Human Gene Therapy. 16(1). 109–125. 13 indexed citations

5.

Zou, Aihua, et al.. (2004). Overexpression of adenovirus E3-11.6K protein induces cell killing by both caspase-dependent and caspase-independent mechanisms. Virology. 326(2). 240–249. 28 indexed citations

6.

Jetzt, Amanda E., John A. Howe, Mark Horn, et al.. (2003). Adenoviral-mediated expression of a kinase-dead mutant of Akt induces apoptosis selectively in tumor cells and suppresses tumor growth in mice.. PubMed. 63(20). 6697–706. 47 indexed citations

7.

Shabram, Paul, Richard J. Gregory, Mark Horn, et al.. (1997). Analytical Anion-Exchange HPLC of Recombinant Type-5 Adenoviral Particles. Human Gene Therapy. 8(4). 453–465. 164 indexed citations

8.

Huyghe, Bernard, Xiaodong Liu, Suganto Sutjipto, et al.. (1995). Purification of a Type 5 Recombinant Adenovirus Encoding Human p53 by Column Chromatography. Human Gene Therapy. 6(11). 1403–1416. 159 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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