Marco A. Cacciuttolo

462 total citations
8 papers, 385 citations indexed

About

Marco A. Cacciuttolo is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marco A. Cacciuttolo has authored 8 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marco A. Cacciuttolo's work include DNA and Nucleic Acid Chemistry (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Marco A. Cacciuttolo is often cited by papers focused on DNA and Nucleic Acid Chemistry (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Marco A. Cacciuttolo collaborates with scholars based in United States, Australia and Poland. Marco A. Cacciuttolo's co-authors include Loc Trinh, Janice A. Lumpkin, Govind Rao, Miral Dizdaroğlu, Rakesh Govind, Zeena Nackerdien, Ewa Gajewski, Steven A. Altman, Tomasz H. Zastawny and Lisa Randers‐Eichhorn and has published in prestigious journals such as Biochemistry, Free Radical Biology and Medicine and mAbs.

In The Last Decade

Marco A. Cacciuttolo

8 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco A. Cacciuttolo United States	5	253	61	46	43	38	8	385
Rakoma Wiesner United States	9	317 1.3×	90 1.5×	28 0.6×	71 1.7×	22 0.6×	13	568
Yuji Karasaki Japan	13	289 1.1×	49 0.8×	59 1.3×	45 1.0×	18 0.5×	34	536
Yin‐Chang Liu Taiwan	11	233 0.9×	43 0.7×	13 0.3×	41 1.0×	18 0.5×	31	386
J. S. Adhikari India	13	167 0.7×	100 1.6×	12 0.3×	61 1.4×	80 2.1×	23	416
Michal Miko Slovakia	11	166 0.7×	26 0.4×	35 0.8×	45 1.0×	9 0.2×	38	393
Edwin M. Uyeki United States	14	235 0.9×	95 1.6×	22 0.5×	78 1.8×	37 1.0×	64	589
J. F. Scaife Canada	15	261 1.0×	79 1.3×	65 1.4×	46 1.1×	97 2.6×	54	539
Aire Laine Finland	7	157 0.6×	18 0.3×	14 0.3×	67 1.6×	21 0.6×	8	552
Colette J. Rudd United States	11	365 1.4×	185 3.0×	42 0.9×	50 1.2×	46 1.2×	13	621
Guangxian Liu China	12	175 0.7×	49 0.8×	18 0.4×	92 2.1×	23 0.6×	47	488

Countries citing papers authored by Marco A. Cacciuttolo

Since Specialization

Citations

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

Fields of papers citing papers by Marco A. Cacciuttolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco A. Cacciuttolo

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lain, Blanca, et al.. (2010). Primary Clarification of Very High-Density Cell Culture Harvests By Enhanced Cell Settling. 20 indexed citations

2.

Tchoudakova, Anna, Frank Hensel, Frank J. Schoenen, et al.. (2009). High level expression of functional human IgMs in human PER.C6® cells. mAbs. 1(2). 163–171. 44 indexed citations

3.

Cacciuttolo, Marco A.. (2007). Perfusion or fed-batch? A matter of perspective. 187–198. 3 indexed citations

4.

Cacciuttolo, Marco A. & Alahari Arunakumari. (2005). Scale-Up Considerations for Biotechnology-Derived Products. 163–194. 4 indexed citations

5.

Altman, Steven A., Tomasz H. Zastawny, Lisa Randers‐Eichhorn, et al.. (1995). Formation of DNA-protein cross-links in cultured mammalian cells upon treatment with iron ions. Free Radical Biology and Medicine. 19(6). 897–902. 68 indexed citations

6.

Cacciuttolo, Marco A., Loc Trinh, Janice A. Lumpkin, & Govind Rao. (1993). Hyperoxia induces DNA damage in mammalian cells. Free Radical Biology and Medicine. 14(3). 267–276. 160 indexed citations

7.

Nackerdien, Zeena, Rakesh Govind, Marco A. Cacciuttolo, Ewa Gajewski, & Miral Dizdaroğlu. (1991). Chemical nature of DNA-protein cross-links produced in mammalian chromatin by hydrogen peroxide in the presence of iron or copper ions. Biochemistry. 30(20). 4873–4879. 84 indexed citations

8.

Nackerdien, Zeena, et al.. (1990). Structure of DNA-protein crosslinks formed in mammalian chromatin upon treatment with hydrogen peroxide and metal ions. Free Radical Biology and Medicine. 9. 51–51. 2 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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