D.L. Schönfeld

563 total citations
8 papers, 457 citations indexed

About

D.L. Schönfeld is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biochemistry. According to data from OpenAlex, D.L. Schönfeld has authored 8 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biochemistry. Recurrent topics in D.L. Schönfeld's work include Amino Acid Enzymes and Metabolism (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Enzyme Structure and Function (2 papers). D.L. Schönfeld is often cited by papers focused on Amino Acid Enzymes and Metabolism (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Enzyme Structure and Function (2 papers). D.L. Schönfeld collaborates with scholars based in Germany, United Kingdom and France. D.L. Schönfeld's co-authors include Arne Skerra, Raimond B. G. Ravelli, U. Müeller, John J. Barker, Brunella Felicetti, Najmeeyah Brown, Andreas M. Hohlbaum, Gabriele Matschiner, Lorenz Chatwell and S. Schlehuber and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

D.L. Schönfeld

8 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.L. Schönfeld Germany 6 304 90 74 71 64 8 457
Jerome M. Bailey United States 12 380 1.3× 32 0.4× 44 0.6× 44 0.6× 30 0.5× 20 558
Anne Jorunn Stokka Norway 13 417 1.4× 19 0.2× 44 0.6× 57 0.8× 40 0.6× 14 537
Jili Li China 13 192 0.6× 30 0.3× 75 1.0× 72 1.0× 24 0.4× 36 384
Paula Leandro Portugal 17 552 1.8× 37 0.4× 63 0.9× 192 2.7× 41 0.6× 60 892
Stan Tsing United States 10 270 0.9× 51 0.6× 26 0.4× 73 1.0× 69 1.1× 10 627
Joachim G. Müller United States 16 357 1.2× 125 1.4× 30 0.4× 78 1.1× 52 0.8× 23 791
Margaret E. Olson United States 19 384 1.3× 22 0.2× 27 0.4× 40 0.6× 91 1.4× 32 797
G. Valet Germany 11 223 0.7× 23 0.3× 35 0.5× 27 0.4× 107 1.7× 21 403
Yiling Fang China 11 365 1.2× 24 0.3× 42 0.6× 123 1.7× 95 1.5× 27 572
Jaimeen D. Majmudar United States 15 567 1.9× 32 0.4× 39 0.5× 46 0.6× 142 2.2× 24 813

Countries citing papers authored by D.L. Schönfeld

Since Specialization
Citations

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

Fields of papers citing papers by D.L. Schönfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.L. Schönfeld

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

All Works

8 of 8 papers shown
2.
Yegneswaran, Subramanian, Jian-Ming Gu, D.L. Schönfeld, et al.. (2015). Identification and function probing of an antithrombin IIIβ conformation‐specific antibody. Journal of Thrombosis and Haemostasis. 14(2). 356–365. 5 indexed citations
3.
Smith, M. A., Volker Mack, Andreas Ebneth, et al.. (2010). The Structure of Mammalian Serine Racemase. Journal of Biological Chemistry. 285(17). 12873–12881. 71 indexed citations
4.
Andersen, Ole A., D.L. Schönfeld, Brunella Felicetti, et al.. (2009). Cross-linking of protein crystals as an aid in the generation of binary protein–ligand crystal complexes, exemplified by the human PDE10a–papaverine structure. Acta Crystallographica Section D Biological Crystallography. 65(8). 872–874. 22 indexed citations
5.
Schönfeld, D.L., Gabriele Matschiner, Lorenz Chatwell, et al.. (2009). An engineered lipocalin specific for CTLA-4 reveals a combining site with structural and conformational features similar to antibodies. Proceedings of the National Academy of Sciences. 106(20). 8198–8203. 87 indexed citations
6.
Schönfeld, D.L., Raimond B. G. Ravelli, U. Müeller, & Arne Skerra. (2008). The 1.8-Å Crystal Structure of α1-Acid Glycoprotein (Orosomucoid) Solved by UV RIP Reveals the Broad Drug-Binding Activity of This Human Plasma Lipocalin. Journal of Molecular Biology. 384(2). 393–405. 130 indexed citations
7.
Schönfeld, D.L., et al.. (2006). Comparative ligand-binding analysis of ten human lipocalins. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(2). 161–173. 129 indexed citations
8.
Schönfeld, D.L. & Uwe T. Bornscheuer. (2004). Polarimetric Assay for the Medium-Throughput Determination of α-Amino Acid Racemase Activity. Analytical Chemistry. 76(4). 1184–1188. 9 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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