David Mitola

925 total citations
9 papers, 786 citations indexed

About

David Mitola is a scholar working on Cancer Research, Hematology and Molecular Biology. According to data from OpenAlex, David Mitola has authored 9 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 4 papers in Hematology and 3 papers in Molecular Biology. Recurrent topics in David Mitola's work include Protease and Inhibitor Mechanisms (6 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Alzheimer's disease research and treatments (3 papers). David Mitola is often cited by papers focused on Protease and Inhibitor Mechanisms (6 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Alzheimer's disease research and treatments (3 papers). David Mitola collaborates with scholars based in United States, Denmark and Zambia. David Mitola's co-authors include Mark D. Macek, Thomas Bugge, Daniel A. Lawrence, Maria Sandkvist, Manuel Yepes, Elizabeth Moore, Timothy A. Coleman, Thomas H. Bugge, Stephen H. Leppla and Shihui Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

David Mitola

9 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Mitola United States	9	302	267	142	135	104	9	786
Ian Beckman Australia	18	63 0.2×	186 0.7×	119 0.8×	76 0.6×	46 0.4×	34	1.0k
Ronald W. Katz United States	17	146 0.5×	580 2.2×	62 0.4×	23 0.2×	50 0.5×	21	1.1k
Ela Shai Israel	18	116 0.4×	499 1.9×	31 0.2×	178 1.3×	42 0.4×	37	933
Teruyuki Saho Japan	13	55 0.2×	199 0.7×	188 1.3×	35 0.3×	89 0.9×	18	659
Marina D’Angelo United States	16	158 0.5×	492 1.8×	15 0.1×	76 0.6×	78 0.8×	20	1.1k
Julie Wong Canada	5	217 0.7×	246 0.9×	11 0.1×	73 0.5×	90 0.9×	12	670
A. Palmon Israel	19	104 0.3×	379 1.4×	194 1.4×	13 0.1×	25 0.2×	34	907
K. Yamasaki Japan	16	59 0.2×	335 1.3×	26 0.2×	57 0.4×	15 0.1×	50	1.1k
Masao Matsubara Japan	15	235 0.8×	131 0.5×	9 0.1×	85 0.6×	63 0.6×	32	906
Boris Hügle Germany	19	65 0.2×	590 2.2×	19 0.1×	416 3.1×	16 0.2×	66	1.3k

Countries citing papers authored by David Mitola

Since Specialization

Citations

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

Fields of papers citing papers by David Mitola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mitola

This figure shows the co-authorship network connecting the top 25 collaborators of David Mitola. A scholar is included among the top collaborators of David Mitola 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 Mitola. David Mitola 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:

9 of 9 papers shown

1.

Macek, Mark D. & David Mitola. (2006). Exploring the association between overweight and dental caries among US children.. PubMed. 28(4). 375–80. 157 indexed citations

2.

Pedersen, T., Vyomesh Patel, David Mitola, et al.. (2003). Laser capture microdissection-based in vivo genomic profiling of wound keratinocytes identifies similarities and differences to squamous cell carcinoma. Oncogene. 22(25). 3964–3976. 66 indexed citations

3.

Liu, Shihui, et al.. (2003). Potent antitumor activity of a urokinase-activated engineered anthrax toxin. Proceedings of the National Academy of Sciences. 100(2). 657–662. 102 indexed citations

4.

Engelholm, Lars H., Karin List, Sarah Netzel–Arnett, et al.. (2003). uPARAP/Endo180 is essential for cellular uptake of collagen and promotes fibroblast collagen adhesion. The Journal of Cell Biology. 160(7). 1009–1015. 149 indexed citations

5.

Yepes, Manuel, Maria Sandkvist, Timothy A. Coleman, et al.. (2002). Regulation of seizure spreading by neuroserpin and tissue-type plasminogen activator is plasminogen-independent. Journal of Clinical Investigation. 109(12). 1571–1578. 111 indexed citations

6.

Netzel–Arnett, Sarah, David Mitola, Susan S. Yamada, et al.. (2002). Collagen Dissolution by Keratinocytes Requires Cell Surface Plasminogen Activation and Matrix Metalloproteinase Activity. Journal of Biological Chemistry. 277(47). 45154–45161. 69 indexed citations

7.

Yepes, Manuel, Maria Sandkvist, Timothy A. Coleman, et al.. (2002). Regulation of seizure spreading by neuroserpin and tissue-type plasminogen activator is plasminogen-independent. Journal of Clinical Investigation. 109(12). 1571–1578. 100 indexed citations

8.

Yepes, Manuel, Maria Sandkvist, Timothy A. Coleman, et al.. (2002). Regulation of seizure spreading by neuroserpin and tissue-type plasminogen activator is plasminogen-independent. Journal of Clinical Investigation. 109(12). 1571–1578. 9 indexed citations

9.

Curino, Alejandro C., David Mitola, Grainne A. McMahon, et al.. (2002). Plasminogen promotes sarcoma growth and suppresses the accumulation of tumor-infiltrating macrophages. Oncogene. 21(57). 8830–8842. 23 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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