Curt D. Haffner

36 total papers · 1.7k total citations
22 papers, 1.2k citations indexed

About

Curt D. Haffner is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Curt D. Haffner has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Organic Chemistry and 7 papers in Oncology. Recurrent topics in Curt D. Haffner's work include Estrogen and related hormone effects (4 papers), Peptidase Inhibition and Analysis (3 papers) and Neuropeptides and Animal Physiology (3 papers). Curt D. Haffner is often cited by papers focused on Estrogen and related hormone effects (4 papers), Peptidase Inhibition and Analysis (3 papers) and Neuropeptides and Animal Physiology (3 papers). Curt D. Haffner collaborates with scholars based in United States, Netherlands and Germany. Curt D. Haffner's co-authors include Patrick Maloney, Adam M. Fivush, Timothy M. Willson, Linda B. Moore, Joan G. Wilson, Michael C. Lewis, Kelli D. Plunket, Katrina L. Creech, Derek J. Parks and Gyan Chandra and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Curt D. Haffner

22 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Curt D. Haffner 616 492 246 243 140 22 1.2k
Inmaculada Royo 443 0.7× 320 0.7× 165 0.7× 238 1.0× 107 0.8× 26 1.1k
Katrina L. Creech 428 0.7× 651 1.3× 276 1.1× 286 1.2× 212 1.5× 23 1.4k
Paige E. Mahaney 487 0.8× 210 0.4× 320 1.3× 433 1.8× 91 0.7× 27 1.0k
Adam M. Fivush 765 1.2× 550 1.1× 119 0.5× 531 2.2× 140 1.0× 8 1.3k
H. Matern 579 0.9× 440 0.9× 152 0.6× 129 0.5× 92 0.7× 37 1.2k
Jun Ohsumi 534 0.9× 311 0.6× 111 0.5× 150 0.6× 179 1.3× 31 1.2k
Frédéric Massé 746 1.2× 157 0.3× 362 1.5× 280 1.2× 154 1.1× 22 1.4k
Geri A. Sawada 489 0.8× 503 1.0× 128 0.5× 105 0.4× 55 0.4× 37 1.4k
Annie Zhao 353 0.6× 615 1.3× 99 0.4× 378 1.6× 208 1.5× 15 1.2k
Paola Avena 487 0.8× 199 0.4× 124 0.5× 202 0.8× 77 0.6× 33 1.2k

Countries citing papers authored by Curt D. Haffner

Since Specialization
Citations

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

Fields of papers citing papers by Curt D. Haffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curt D. Haffner. 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 Curt D. Haffner. The network helps show where Curt D. Haffner may publish in the future.

Co-authorship network of co-authors of Curt D. Haffner

This figure shows the co-authorship network connecting the top 25 collaborators of Curt D. Haffner. A scholar is included among the top collaborators of Curt D. Haffner 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 Curt D. Haffner. Curt D. Haffner 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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2026