Julia C. Tindall

3.8k total citations
59 papers, 1.7k citations indexed

About

Julia C. Tindall is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Julia C. Tindall has authored 59 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 20 papers in Ecology. Recurrent topics in Julia C. Tindall's work include Geology and Paleoclimatology Research (50 papers), Climate variability and models (21 papers) and Isotope Analysis in Ecology (18 papers). Julia C. Tindall is often cited by papers focused on Geology and Paleoclimatology Research (50 papers), Climate variability and models (21 papers) and Isotope Analysis in Ecology (18 papers). Julia C. Tindall collaborates with scholars based in United Kingdom, United States and China. Julia C. Tindall's co-authors include Paul J. Valdes, Louise C. Sime, Alan M. Haywood, Eric Wolff, Stephen J. Hunter, Aisling M. Dolan, Lauren Gregoire, K. I. C. Oliver, Ruza Ivanovic and Ilkka Matero and has published in prestigious journals such as Nature, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

Julia C. Tindall

57 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia C. Tindall United Kingdom 24 1.5k 489 429 333 262 59 1.7k
Michael L. Griffiths United States 22 1.8k 1.2× 488 1.0× 625 1.5× 329 1.0× 194 0.7× 54 2.3k
Lauren Gregoire United Kingdom 23 1.6k 1.1× 311 0.6× 402 0.9× 170 0.5× 237 0.9× 59 1.7k
Clay Tabor United States 19 855 0.6× 318 0.7× 282 0.7× 265 0.8× 211 0.8× 41 1.1k
E. Tuenter Netherlands 20 1.5k 1.0× 235 0.5× 317 0.7× 548 1.6× 266 1.0× 26 1.7k
Michael P. Erb United States 17 1.3k 0.9× 573 1.2× 299 0.7× 169 0.5× 204 0.8× 27 1.4k
Pingzhong Zhang China 12 1.4k 0.9× 362 0.7× 326 0.8× 325 1.0× 94 0.4× 24 1.5k
A. Koutavas United States 13 1.9k 1.3× 506 1.0× 902 2.1× 275 0.8× 427 1.6× 21 2.1k
Casey Saenger United States 17 914 0.6× 451 0.9× 629 1.5× 403 1.2× 380 1.5× 28 1.5k
Rhawn F. Denniston United States 24 1.1k 0.8× 248 0.5× 354 0.8× 297 0.9× 90 0.3× 37 1.4k
Matthew E. Kirby United States 25 1.4k 0.9× 270 0.6× 530 1.2× 208 0.6× 74 0.3× 62 1.6k

Countries citing papers authored by Julia C. Tindall

Since Specialization
Citations

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

Fields of papers citing papers by Julia C. Tindall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia C. Tindall. 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 Julia C. Tindall. The network helps show where Julia C. Tindall may publish in the future.

Co-authorship network of co-authors of Julia C. Tindall

This figure shows the co-authorship network connecting the top 25 collaborators of Julia C. Tindall. A scholar is included among the top collaborators of Julia C. Tindall 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 Julia C. Tindall. Julia C. Tindall 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.
Tindall, Julia C., Alan M. Haywood, Ayako Abe‐Ouchi, et al.. (2025). Asymmetric Pacific variability in the Pliocene: An unchanged PDO relative to a suppressed ENSO. Global and Planetary Change. 253. 104932–104932.
2.
Haywood, Alan M., Julia C. Tindall, Aisling M. Dolan, et al.. (2024). The role of atmospheric CO 2 in controlling sea surface temperature change during the Pliocene. Climate of the past. 20(5). 1177–1194. 3 indexed citations
3.
Dijkstra, Henk A., Anna S. von der Heydt, Ayako Abe‐Ouchi, et al.. (2024). Highly stratified mid-Pliocene Southern Ocean in PlioMIP2. Climate of the past. 20(4). 1067–1086. 4 indexed citations
4.
Huang, Xiaofang, Shiling Yang, Alan M. Haywood, et al.. (2023). Response of East Asian summer monsoon to precession change during the mid-Pliocene warm period. Quaternary International. 667. 61–67. 1 indexed citations
5.
Haywood, Alan M., Julia C. Tindall, Aisling M. Dolan, et al.. (2023). On the climatic influence of CO 2 forcing in the Pliocene. Climate of the past. 19(3). 747–764. 10 indexed citations
6.
7.
Holmes, Jonathan A., Julia C. Tindall, Matthew D. Jones, et al.. (2023). Climate and atmospheric circulation during the Early and Mid‐Holocene inferred from lake‐carbonate oxygen‐isotope records from western Ireland. Journal of Quaternary Science. 39(1). 24–36. 1 indexed citations
8.
Tindall, Julia C., Alan M. Haywood, Ulrich Salzmann, Aisling M. Dolan, & Tamara Fletcher. (2022). The warm winter paradox in the Pliocene northern high latitudes. Climate of the past. 18(6). 1385–1405. 14 indexed citations
9.
Huang, Xiaofang, Shiling Yang, Alan M. Haywood, et al.. (2022). Simulations reveal causes of inter-regional differences in Pliocene climatic periodicity. Science Bulletin. 68(2). 146–149. 2 indexed citations
10.
Williams, Charles J. R., Alistair Sellar, Alan M. Haywood, et al.. (2021). Simulation of the mid-Pliocene Warm Period using HadGEM3: experimental design and results from model–model and model–data comparison. Climate of the past. 17(5). 2139–2163. 23 indexed citations
11.
Ivanovic, Ruza, et al.. (2020). Simulating stable carbon isotopes in the ocean component of the FAMOUS general circulation model with MOSES1 (XOAVI). Geoscientific model development. 13(8). 3529–3552. 5 indexed citations
13.
Hunter, Stephen J., Alan M. Haywood, Aisling M. Dolan, & Julia C. Tindall. (2019). The HadCM3 contribution to PlioMIP Phase 2 Part 1: Core and Tier 1 experiments. 4 indexed citations
14.
Hunter, Stephen J., Alan M. Haywood, Aisling M. Dolan, & Julia C. Tindall. (2019). The HadCM3 contribution to PlioMIP phase 2. Climate of the past. 15(5). 1691–1713. 31 indexed citations
15.
Holloway, Max, Louise C. Sime, Joy Singarayer, et al.. (2016). Antarctic last interglacial isotope peak in response to sea ice retreat not ice-sheet collapse. Nature Communications. 7(1). 12293–12293. 52 indexed citations
16.
Pound, Matthew J., et al.. (2014). Late Pliocene lakes and soils: a global data set for the analysis of climate feedbacks in a warmer world. Climate of the past. 10(1). 167–180. 45 indexed citations
17.
Sime, Louise C., Camille Risi, Julia C. Tindall, et al.. (2013). Warm climate isotopic simulations: What do we learn about interglacial signals in Greenland ice cores?. EGUGA. 1 indexed citations
18.
Pound, Matthew J., Julia C. Tindall, S. J. Pickering, et al.. (2013). Late Pliocene lakes and soils: a data – model comparison for the analysis of climate feedbacks in a warmer world. 4 indexed citations
19.
Tudhope, Alexander W., et al.. (2013). Inter-annual tropical Pacific climate variability in an isotope-enabled CGCM: implications for interpreting coral stable oxygen isotope records of ENSO. Climate of the past. 9(4). 1543–1557. 36 indexed citations
20.
Sime, Louise C., Eric Wolff, K. I. C. Oliver, & Julia C. Tindall. (2009). Evidence for warmer interglacials in East Antarctic ice cores. RePEc: Research Papers in Economics. 2514. 3 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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