T Remer

15 total papers · 1.2k total citations
10 papers, 868 citations indexed

About

T Remer is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Nephrology. According to data from OpenAlex, T Remer has authored 10 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Physiology and 3 papers in Nephrology. Recurrent topics in T Remer's work include Hormonal and reproductive studies (4 papers), Renal function and acid-base balance (3 papers) and Hormonal Regulation and Hypertension (2 papers). T Remer is often cited by papers focused on Hormonal and reproductive studies (4 papers), Renal function and acid-base balance (3 papers) and Hormonal Regulation and Hypertension (2 papers). T Remer collaborates with scholars based in Germany, Italy and Israel. T Remer's co-authors include Friedrich Manz, Katja Bolzenius, Lars Libuda, A. E. Buyken, Guo Cheng, Nadina Karaolis‐Danckert, Klaus Pietrzik, Abdullah Bereket, Danika Krupp and Stefan A. Wudy and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Epidemiology and Metabolism.

In The Last Decade

T Remer

9 papers receiving 822 citations

Hit Papers

Potential Renal Acid Load... 1995 2026 2005 2015 1995 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T Remer 534 446 169 162 132 10 868
Joan A. Pleuss 305 0.6× 222 0.5× 138 0.8× 133 0.8× 229 1.7× 16 1.1k
Lijie Shi 230 0.4× 229 0.5× 173 1.0× 233 1.4× 125 0.9× 31 836
P. Evenepoel 466 0.9× 145 0.3× 183 1.1× 40 0.2× 107 0.8× 12 788
Sally A. Schuette 219 0.4× 288 0.6× 89 0.5× 147 0.9× 265 2.0× 27 913
John K. Lloyd 130 0.2× 312 0.7× 448 2.7× 48 0.3× 110 0.8× 14 907
Wen-Shang Hou 298 0.6× 235 0.5× 119 0.7× 228 1.4× 78 0.6× 12 1.0k
B. Cameletti 62 0.1× 239 0.5× 180 1.1× 84 0.5× 146 1.1× 14 755
Lisa Jackman 323 0.6× 189 0.4× 142 0.8× 126 0.8× 230 1.7× 9 753
R. Swaminathan 104 0.2× 120 0.3× 86 0.5× 110 0.7× 374 2.8× 22 954
María M. Adeva 243 0.5× 273 0.6× 272 1.6× 53 0.3× 52 0.4× 8 768

Countries citing papers authored by T Remer

Since Specialization
Citations

This map shows the geographic impact of T Remer'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 T Remer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Remer more than expected).

Fields of papers citing papers by T Remer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T Remer. 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 T Remer. The network helps show where T Remer may publish in the future.

Co-authorship network of co-authors of T Remer

This figure shows the co-authorship network connecting the top 25 collaborators of T Remer. A scholar is included among the top collaborators of T Remer 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 T Remer. T Remer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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