John F. Slack

6.5k total citations · 2 hit papers
118 papers, 4.5k citations indexed

About

John F. Slack is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, John F. Slack has authored 118 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Geophysics, 56 papers in Artificial Intelligence and 45 papers in Geochemistry and Petrology. Recurrent topics in John F. Slack's work include Geological and Geochemical Analysis (81 papers), Geochemistry and Geologic Mapping (56 papers) and Geochemistry and Elemental Analysis (33 papers). John F. Slack is often cited by papers focused on Geological and Geochemical Analysis (81 papers), Geochemistry and Geologic Mapping (56 papers) and Geochemistry and Elemental Analysis (33 papers). John F. Slack collaborates with scholars based in United States, Canada and United Kingdom. John F. Slack's co-authors include Tor Grenne, Martin R. Palmer, Andrey Bekker, Olivier Rouxel, Noah J. Planavsky, Kurt O. Konhauser, B. Krapež, Axel Hofmann, B. P. J. Stevens and Karen D. Kelley and has published in prestigious journals such as Nature, Nature Communications and Geochimica et Cosmochimica Acta.

In The Last Decade

John F. Slack

113 papers receiving 4.3k citations

Hit Papers

Iron Formation: The Sedimentary Product of a Complex Inte... 2010 2026 2015 2020 2010 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John F. Slack United States 35 3.1k 2.1k 1.5k 1.3k 510 118 4.5k
R. F. Dymek United States 26 2.4k 0.8× 1.9k 0.9× 977 0.7× 684 0.5× 559 1.1× 66 3.6k
T. Kurtis Kyser Canada 36 3.3k 1.1× 961 0.5× 1.3k 0.9× 655 0.5× 900 1.8× 121 4.6k
Gray E. Bebout United States 40 4.3k 1.4× 1.2k 0.5× 806 0.5× 716 0.6× 850 1.7× 108 5.1k
Bruce E. Taylor Canada 32 2.6k 0.9× 1.3k 0.6× 1.2k 0.8× 806 0.6× 951 1.9× 66 4.4k
Paulo Vasconcelos Australia 43 4.4k 1.4× 1.2k 0.6× 2.3k 1.6× 767 0.6× 1.1k 2.2× 179 6.0k
Thomas Zack Germany 48 6.2k 2.0× 1.3k 0.6× 2.9k 2.0× 520 0.4× 702 1.4× 152 7.3k
Judith L. Hannah United States 28 2.6k 0.8× 1.2k 0.6× 1.4k 0.9× 1.4k 1.1× 623 1.2× 80 3.9k
Janet R. Muhling Australia 33 2.1k 0.7× 1.1k 0.5× 983 0.7× 892 0.7× 424 0.8× 96 3.0k
Cornelis Klein United States 24 1.5k 0.5× 1.7k 0.8× 494 0.3× 1.7k 1.4× 686 1.3× 44 3.2k
Pieter Z. Vroon Netherlands 38 3.1k 1.0× 1.2k 0.5× 911 0.6× 693 0.6× 798 1.6× 75 4.4k

Countries citing papers authored by John F. Slack

Since Specialization
Citations

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

Fields of papers citing papers by John F. Slack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Slack. 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 John F. Slack. The network helps show where John F. Slack may publish in the future.

Co-authorship network of co-authors of John F. Slack

This figure shows the co-authorship network connecting the top 25 collaborators of John F. Slack. A scholar is included among the top collaborators of John F. Slack 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 John F. Slack. John F. Slack 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
2.
Papineau, Dominic, Zhenbing She, Matthew S. Dodd, et al.. (2022). Metabolically diverse primordial microbial communities in Earth’s oldest seafloor-hydrothermal jasper. Science Advances. 8(15). eabm2296–eabm2296. 31 indexed citations
3.
Little, Crispin T. S., Stefan Bengtson, Clara S. Chan, et al.. (2021). A late Paleoproterozoic (1.74 Ga) deep‐sea, low‐temperature, iron‐oxidizing microbial hydrothermal vent community from Arizona, USA. Geobiology. 19(3). 228–249. 24 indexed citations
4.
Strauss, Justin V., et al.. (2019). NEW U-PB DETRITAL AND IGNEOUS ZIRCON GEOCHRONOLOGICAL RESULTS FROM THE ST. CROIX TERRANE AND ISLESBORO BLOCK, PENOBSCOT BAY, MAINE. Abstracts with programs - Geological Society of America. 1 indexed citations
5.
Robbins, Leslie J., et al.. (2018). Earth’s youngest banded iron formation implies ferruginous conditions in the Early Cambrian ocean. Scientific Reports. 8(1). 9970–9970. 42 indexed citations
6.
Reusch, Douglas N., et al.. (2017). Smalls Falls Revisted: A Journey Through a Paleozoic Sedimentary Basin. 35–60. 1 indexed citations
7.
Tornos, Fernando, et al.. (2014). Formation of recent Pb-Ag-Au mineralization by potential sub-surface microbial activity. Nature Communications. 5(1). 4600–4600. 12 indexed citations
8.
Shanks, Wayne C., Randolph A. Koski, Dan L. Mosier, et al.. (2012). Volcanogenic massive sulfide occurrence model. Scientific investigations report. 68 indexed citations
9.
Shanks, Wayne C., Cynthia Dusel-Bacon, Randolph A. Koski, et al.. (2009). A New Occurrence Model for National Assessment of Undiscovered Volcanogenic Massive Sulfide Deposits. Antarctica A Keystone in a Changing World.
10.
Dusel-Bacon, Cynthia, John F. Slack, John N. Aleinikoff, & James K. Mortensen. (2009). Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area. USGS professional paper. 7 indexed citations
11.
Slack, John F., Tor Grenne, & Andrey Bekker. (2009). Seafloor-hydrothermal Si-Fe-Mn exhalites in the Pecos greenstone belt, New Mexico, and the redox state of ca. 1720 Ma deep seawater. Geosphere. 5(3). 302–314. 75 indexed citations
12.
Ayuso, Robert A., Robert A. Burruss, Julie A. Dumoulin, et al.. (2007). Regional Fluid Flow and Basin Modeling in Northern Alaska. U.S. Geological Survey circular. 4 indexed citations
14.
Jiang, Shao‐Yong, et al.. (1996). Feruvite from the Sullivan Pb-Zn-Ag deposit, British Columbia. The Canadian Mineralogist. 34(4). 733–740. 12 indexed citations
15.
Slack, John F.. (1996). Tourmaline associations with hydrothermal ore deposits. Reviews in Mineralogy & Geochemistry. 33(1). 559–643. 164 indexed citations
16.
Jiang, Shao‐Yong, Martin R. Palmer, & John F. Slack. (1996). Mn-rich ilmenite from the Sullivan Pb-Zn-Ag deposit, British Columbia. The Canadian Mineralogist. 34(1). 29–36. 9 indexed citations
17.
Slack, John F., et al.. (1992). Hydrothermal and metamorphic berthierine from the Kidd Creek volcanogenic massive sulfide deposit, Timmins, Ontario. The Canadian Mineralogist. 30(4). 1127–1142. 32 indexed citations
18.
Lawton, Frank, Martin Griffin, John F. Slack, & G. Blackledge. (1989). Urinary Polyamine Excretion Patterns in Patients with Epithelial Ovarian Cancer. Gynecologic and Obstetric Investigation. 28(4). 212–214. 12 indexed citations
19.
Stuart, N, S. M. Crawford, G. Blackledge, et al.. (1989). A phase I study of meta-azidopyrimethamine ethanesulphonate (MZPES) ? a new dihydrofolate reductase inhibitor. Cancer Chemotherapy and Pharmacology. 23(5). 308–310. 6 indexed citations
20.
Slack, John F.. (1982). Tourmaline in Appalachian - Caledonian massive sulphide deposits and its exploration significance.. 91. 81–89. 85 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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