Mark J. Lara

4.1k total citations · 1 hit paper
33 papers, 1.0k citations indexed

About

Mark J. Lara is a scholar working on Atmospheric Science, Ecology and Global and Planetary Change. According to data from OpenAlex, Mark J. Lara has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atmospheric Science, 9 papers in Ecology and 5 papers in Global and Planetary Change. Recurrent topics in Mark J. Lara's work include Climate change and permafrost (31 papers), Cryospheric studies and observations (24 papers) and Geology and Paleoclimatology Research (9 papers). Mark J. Lara is often cited by papers focused on Climate change and permafrost (31 papers), Cryospheric studies and observations (24 papers) and Geology and Paleoclimatology Research (9 papers). Mark J. Lara collaborates with scholars based in United States, Germany and United Kingdom. Mark J. Lara's co-authors include C. E. Tweedie, Guido Grosse, Feng Sheng Hu, Ingmar Nitze, A. David McGuire, M. Torre Jorgenson, Christian Andresen, Gerald V. Frost, A. D. McGuire and Hélène Genet and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Mark J. Lara

29 papers receiving 1.0k citations

Hit Papers

Tundra vegetation change and impacts on permafrost 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Lara United States 18 895 284 200 68 48 33 1.0k
Neal J. Pastick United States 16 520 0.6× 212 0.7× 247 1.2× 89 1.3× 52 1.1× 27 733
Vladimir Elsakov Russia 10 399 0.4× 434 1.5× 212 1.1× 54 0.8× 23 0.5× 33 684
Z. A. Mekonnen United States 16 682 0.8× 283 1.0× 460 2.3× 48 0.7× 38 0.8× 31 1000
A. Balser United States 6 650 0.7× 196 0.7× 87 0.4× 118 1.7× 57 1.2× 9 754
Richard Thoman United States 18 737 0.8× 137 0.5× 551 2.8× 39 0.6× 51 1.1× 33 1.0k
M. L. Chipman United States 12 693 0.8× 179 0.6× 543 2.7× 52 0.8× 121 2.5× 20 904
Verity Salmon United States 17 845 0.9× 419 1.5× 206 1.0× 100 1.5× 16 0.3× 39 1.1k
Н. Г. Москаленко Russia 8 643 0.7× 139 0.5× 81 0.4× 65 1.0× 20 0.4× 10 702
Monique M. P. D. Heijmans Netherlands 10 528 0.6× 129 0.5× 109 0.5× 32 0.5× 31 0.6× 19 603
Eric S. Klein United States 16 571 0.6× 298 1.0× 195 1.0× 94 1.4× 9 0.2× 30 718

Countries citing papers authored by Mark J. Lara

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Lara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Lara

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Lara. A scholar is included among the top collaborators of Mark J. Lara 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 J. Lara. Mark J. Lara 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
1.
Lara, Mark J., et al.. (2025). A 20 m spatial resolution peatland extent map of Alaska. Scientific Data. 12(1). 226–226.
4.
Nitze, Ingmar, Konrad Heidler, T. L. Holzer, et al.. (2025). DARTS: Multi-year database of AI-detected retrogressive thaw slumps in the circum-arctic permafrost region. Scientific Data. 12(1). 1512–1512. 2 indexed citations
5.
Nitze, Ingmar, Jurjen van der Sluijs, Lingcao Huang, et al.. (2024). A Labeling Intercomparison of Retrogressive Thaw Slumps by a Diverse Group of Domain Experts. Permafrost and Periglacial Processes. 36(1). 83–92. 9 indexed citations
6.
Michaelides, Roger, et al.. (2024). Tundra fires and surface subsidence increase spectral diversity on the Yukon–Kuskokwim Delta, Alaska. SHILAP Revista de lepidopterología. 3(4). 45006–45006. 1 indexed citations
7.
Fraterrigo, Jennifer M., et al.. (2023). Nitrogen fixing shrubs advance the pace of tall-shrub expansion in low-Arctic tundra. Communications Earth & Environment. 4(1). 11 indexed citations
8.
Zhang, Qingyuan, Mark J. Lara, Zhengpeng Li, et al.. (2023). Impacts of abiotic and biotic factors on tundra productivity near Utqiaġvik, Alaska. Environmental Research Letters. 18(9). 94070–94070.
9.
Mekonnen, Z. A., W. J. Riley, R. F. Grant, et al.. (2021). Topographical Controls on Hillslope‐Scale Hydrology Drive Shrub Distributions on the Seward Peninsula, Alaska. Journal of Geophysical Research Biogeosciences. 126(2). 17 indexed citations
10.
Chen, Yaping, Ryan Kelly, Hélène Genet, et al.. (2021). Resilience and sensitivity of ecosystem carbon stocks to fire-regime change in Alaskan tundra. The Science of The Total Environment. 806(Pt 4). 151482–151482. 7 indexed citations
11.
Lara, Mark J., Yaping Chen, & Benjamin Jones. (2021). Recent warming reverses forty-year decline in catastrophic lake drainage and hastens gradual lake drainage across northern Alaska. Environmental Research Letters. 16(12). 124019–124019. 19 indexed citations
12.
Jones, Benjamin, Christopher D. Arp, Guido Grosse, et al.. (2020). Identifying historical and future potential lake drainage events on the western Arctic coastal plain of Alaska. Permafrost and Periglacial Processes. 31(1). 110–127. 35 indexed citations
13.
Lara, Mark J., A. David McGuire, E. S. Euskirchen, et al.. (2020). Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics. Nature Communications. 11(1). 4925–4925. 33 indexed citations
14.
Hu, Feng Sheng, et al.. (2020). Divergent shrub‐cover responses driven by climate, wildfire, and permafrost interactions in Arctic tundra ecosystems. Global Change Biology. 27(3). 652–663. 45 indexed citations
15.
Salmon, Verity, Amy Breen, Jitendra Kumar, et al.. (2019). Alder Distribution and Expansion Across a Tundra Hillslope: Implications for Local N Cycling. Frontiers in Plant Science. 10. 1099–1099. 48 indexed citations
16.
Lara, Mark J., Ingmar Nitze, Guido Grosse, Philip D. Martin, & A. D. McGuire. (2018). Reduced arctic tundra productivity linked with landform and climate change interactions. Scientific Reports. 8(1). 2345–2345. 101 indexed citations
17.
Lara, Mark J., Ingmar Nitze, Guido Grosse, & A. David McGuire. (2018). Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska. Scientific Data. 5(1). 180058–180058. 32 indexed citations
18.
Lara, Mark J., Hélène Genet, A. David McGuire, et al.. (2015). Thermokarst rates intensify due to climate change and forest fragmentation in an Alaskan boreal forest lowland. Global Change Biology. 22(2). 816–829. 65 indexed citations
19.
Lara, Mark J.. (2012). Implications of decade time scale Arctic plant community change on ecosystem function. scholarworks - UTEP (The University of Texas at El Paso). 1 indexed citations
20.
Hollister, Robert D., et al.. (2012). Tundra vegetation change near Barrow, Alaska (1972–2010). Environmental Research Letters. 7(1). 15508–15508. 60 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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