Marc D Jacobs

3.9k citations
82 papers · 3.3k · 1 hit paper · h-index 29

Impact in

    • Connexins and lens biology
    • Melanoma and MAPK Pathways
    • RNA and protein synthesis mechanisms
    • NF-κB Signaling Pathways

Papers in

    • Connexins and lens biology 13
    • Biomedical Text Mining and Ontologies 7
    • Protein Kinase Regulation and GTPase Signaling 6
    • Bioinformatics and Genomic Networks 6
    • Melanoma and MAPK Pathways 6
    • Computational Drug Discovery Methods 9

Marc D Jacobs

78 papers receiving 3.2k citations

Marc D Jacobs's Hit Papers

Computational drug repurposing: approaches, evaluation of in silico resources and case studies 2025 · 40 citations
400Years since publication10203040

Peers

Marc D Jacobs
Comparison fields: 5 of 146
  • Molecular Biology 1.9k
  • Cancer Research 320
  • Immunology 455
  • Computational Theory and Mathematics 332
  • Organic Chemistry 507
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Citations per field
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Citations per year

Countries citing papers authored by Marc D Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Marc D Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc D Jacobs. 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 Marc D Jacobs. The network helps show where Marc D Jacobs may publish in the future.

Co-authors

The 25 scholars most cited alongside Marc D Jacobs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc D Jacobs Line = papers co-authored together Marc D Jacobs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998726
2 2005221
3 2014194
4 2005171
5 2014160
6 2009132
7 2008117
8 2007112
9 199488
10 201475
11 200770
12 200362
13 201154
14 200954
15 200349
16 201549
17 201746
18 201843
19 200342
20 200941

About Marc D Jacobs

Marc D Jacobs is a scholar working on Molecular Biology, Computational Theory and Mathematics, Ophthalmology, Biophysics and Immunology, having authored 82 papers that have together received 3.3k indexed citations. Recurring topics across this work include Connexins and lens biology (13 papers), Computational Drug Discovery Methods (9 papers), Biomedical Text Mining and Ontologies (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Bioinformatics and Genomic Networks (6 papers), Melanoma and MAPK Pathways (6 papers), Influenza Virus Research Studies (5 papers) and Synthesis and biological activity (5 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Cancer Research (320 citations), Immunology (455 citations), Computational Theory and Mathematics (332 citations) and Organic Chemistry (507 citations). Marc D Jacobs has collaborated with scholars based in United States, New Zealand and Germany. Frequent co-authors include Stephen C. Harrison, Paul James Donaldson, Lora L. Swenson, Mark A Fleming, Robert O. Fox, Brian J. Hare, Albert C. Pierce, Paul M. Taslimi, Joerg Kistler and Christian Soeller. Their work appears in journals such as Journal of Medicinal Chemistry, Investigative Ophthalmology & Visual Science, Bioorganic & Medicinal Chemistry Letters, Bioinformatics and ACS Medicinal Chemistry Letters.

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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