Atul K. Jain

45.4k total citations · 6 hit papers
211 papers, 10.0k citations indexed

About

Atul K. Jain is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Atul K. Jain has authored 211 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Global and Planetary Change, 49 papers in Atmospheric Science and 22 papers in Ecology. Recurrent topics in Atul K. Jain's work include Atmospheric and Environmental Gas Dynamics (72 papers), Climate variability and models (46 papers) and Plant Water Relations and Carbon Dynamics (37 papers). Atul K. Jain is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (72 papers), Climate variability and models (46 papers) and Plant Water Relations and Carbon Dynamics (37 papers). Atul K. Jain collaborates with scholars based in United States, Japan and India. Atul K. Jain's co-authors include Donald J. Wuebbles, Martin I. Hoffert, Haroon S. Kheshgi, Xiaojuan Yang, Stephen Sitch, K. Caldeira, Pierre Friedlingstein, Prasanth Meiyappan, T. M. L. Wigley and Michael E. Schlesinger and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Atul K. Jain

194 papers receiving 9.5k citations

Hit Papers

Advanced Technology Paths to Global Climate Stability: En... 1998 2026 2007 2016 2002 2015 2021 1998 2018 250 500 750 1000

Peers

Atul K. Jain
Bert Metz Netherlands
J. S. Daniel United States
Min Chen China
Zhang China
Atul K. Jain
Citations per year, relative to Atul K. Jain Atul K. Jain (= 1×) peers Roberto Zecchin

Countries citing papers authored by Atul K. Jain

Since Specialization
Citations

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

Fields of papers citing papers by Atul K. Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Atul K. Jain. 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 Atul K. Jain. The network helps show where Atul K. Jain may publish in the future.

Co-authorship network of co-authors of Atul K. Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Atul K. Jain. A scholar is included among the top collaborators of Atul K. Jain 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 Atul K. Jain. Atul K. Jain 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.
Jain, Atul K., Naveen Chandra, Prabir K. Patra, et al.. (2025). South Asia's Ecosystems Are a Net Carbon Sink, But the Region Is a Major Net GHG Source to the Atmosphere. Global Biogeochemical Cycles. 39(4). 1 indexed citations
2.
Lata, Sneh, P. Lampens, Sebastián Zúñiga-Fernández, et al.. (2025). Investigating pulsating variables and eclipsing binaries in NGC 2126 using ground- and space-based photometry, astrometry, spectroscopy, and modelling. Monthly Notices of the Royal Astronomical Society. 538(3). 1747–1772. 1 indexed citations
3.
Lata, Sneh, et al.. (2025). Stellar Variability toward the Galactic Open Cluster NGC 7209. The Astrophysical Journal. 985(1). 26–26.
4.
Nayak, P.K., M. Chakraborty, S. R. Dugad, et al.. (2024). Observation of thunderstorm-induced muon events in GRAPES-3 experiment. Journal of Atmospheric and Solar-Terrestrial Physics. 258. 106231–106231.
5.
Orlov, Anton, Jonas Jägermeyr, Christoph Müller, et al.. (2024). Human heat stress could offset potential economic benefits of CO2 fertilization in crop production under a high-emissions scenario. One Earth. 7(7). 1250–1265. 6 indexed citations
6.
Gong, Cheng, Hanqin Tian, Hong Liao, et al.. (2024). Global net climate effects of anthropogenic reactive nitrogen. Nature. 632(8025). 557–563. 38 indexed citations
7.
Lin, Tzu‐Shun, Haroon S. Kheshgi, Yang Song, Charles J Vörösmarty, & Atul K. Jain. (2023). Which crop has the highest bioethanol yield in the United States?. Frontiers in Energy Research. 11. 18 indexed citations
8.
Kou‐Giesbrecht, Sian, Vivek K. Arora, Christian Seiler, et al.. (2023). Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles. Earth System Dynamics. 14(4). 767–795. 20 indexed citations
9.
Li, Jun, Emanuele Bevacqua, Stephen Sitch, et al.. (2023). Hydroclimatic extremes contribute to asymmetric trends in ecosystem productivity loss. Communications Earth & Environment. 4(1). 14 indexed citations
10.
Gonsamo, Alemu, Philippe Ciais, Diego G. Miralles, et al.. (2021). Greening drylands despite warming consistent with carbon dioxide fertilization effect. Global Change Biology. 27(14). 3336–3349. 86 indexed citations
11.
Winkler, Alexander J., Ranga B. Myneni, Alexis Hannart, et al.. (2021). Slowdown of the greening trend in natural vegetation with further rise in atmospheric CO 2. Biogeosciences. 18(17). 4985–5010. 78 indexed citations
12.
Xu, Xiaoming, Shijie Shu, Tzu‐Shun Lin, et al.. (2021). Global greenhouse gas emissions from animal-based foods are twice those of plant-based foods. Nature Food. 2(9). 724–732. 561 indexed citations breakdown →
13.
Shu, Shijie, Atul K. Jain, Charles D. Koven, & Umakant Mishra. (2020). Estimation of Permafrost SOC Stock and Turnover Time Using a Land Surface Model With Vertical Heterogeneity of Permafrost Soils. Global Biogeochemical Cycles. 34(11). 14 indexed citations
14.
Pan, Shufen, Naiqing Pan, Hanqin Tian, et al.. (2020). Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling. Hydrology and earth system sciences. 24(3). 1485–1509. 203 indexed citations
15.
Wang, Jun, Ning Zeng, Meirong Wang, et al.. (2018). Contrasting interannual atmospheric CO 2 variabilities and their terrestrial mechanisms for two types of El Niños. Atmospheric chemistry and physics. 18(14). 10333–10345. 22 indexed citations
16.
Xu, Xinliang & Atul K. Jain. (2018). Impact of Land Use and Land Cover Change on Land Degradation in South and Southeast Asia. AGUFM. 2018. 1 indexed citations
17.
Wang, Jun, Ning Zeng, Meirong Wang, et al.. (2018). Contrasting behaviors of the atmospheric CO 2 interannual variability during two types of El Niños. Biogeosciences (European Geosciences Union). 1 indexed citations
18.
Zhao, Fang, Ning Zeng, Ghassem Asrar, et al.. (2016). Role of CO 2 , climate and land use in regulating the seasonal amplitudeincrease of carbon fluxes in terrestrial ecosystems: a multimodel analysis. Biogeosciences. 13(17). 5121–5137. 26 indexed citations
19.
Ahlström, Anders, Michael Raupach, Guy Schurgers, et al.. (2015). The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink. Science. 348(6237). 895–899. 1109 indexed citations breakdown →
20.
Jain, Atul K.. (2008). Global Warming and Climate Change Science. Bulletin of the American Physical Society. 1 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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