Jim Schilling

1.5k total citations
7 papers, 1.3k citations indexed

About

Jim Schilling is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jim Schilling has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Jim Schilling's work include Ubiquitin and proteasome pathways (2 papers), Protein purification and stability (1 paper) and Chemical Synthesis and Analysis (1 paper). Jim Schilling is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), Protein purification and stability (1 paper) and Chemical Synthesis and Analysis (1 paper). Jim Schilling collaborates with scholars based in United States, Czechia and Germany. Jim Schilling's co-authors include J. H. Pate Skene, Robert W. Mahley, Michael J. Ignatius, Peter Gebicke-Härter, Eric M. Shooter, Karl H. Weisgraber, Michael Hortsch, J. Roger Jacobs, Peter M. Snow and Corey S. Goodman and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jim Schilling

7 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim Schilling United States 6 678 388 239 232 171 7 1.3k
Nestor X. Barrezueta United States 13 614 0.9× 494 1.3× 256 1.1× 114 0.5× 108 0.6× 14 1.3k
Michail A. Esterman United States 11 599 0.9× 174 0.4× 397 1.7× 76 0.3× 127 0.7× 16 1.2k
Michael F. Crouch Australia 25 1.1k 1.7× 370 1.0× 160 0.7× 68 0.3× 351 2.1× 59 1.7k
Juanita Eldridge United States 15 868 1.3× 228 0.6× 105 0.4× 133 0.6× 125 0.7× 19 1.2k
Martine Pinçon‐Raymond France 28 1.5k 2.3× 554 1.4× 317 1.3× 190 0.8× 445 2.6× 61 2.3k
Martine Barkats France 24 1.4k 2.1× 418 1.1× 422 1.8× 104 0.4× 172 1.0× 40 2.3k
Andrea L. Portbury United States 18 918 1.4× 552 1.4× 263 1.1× 165 0.7× 233 1.4× 28 1.5k
Ronald J. Przybylski United States 19 593 0.9× 148 0.4× 213 0.9× 139 0.6× 178 1.0× 36 1.2k
Francesco Galimi United States 18 965 1.4× 323 0.8× 225 0.9× 66 0.3× 107 0.6× 26 1.8k
Thomas J. Ribar United States 21 1.2k 1.7× 252 0.6× 316 1.3× 65 0.3× 147 0.9× 28 1.9k

Countries citing papers authored by Jim Schilling

Since Specialization
Citations

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

Fields of papers citing papers by Jim Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Schilling

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

All Works

7 of 7 papers shown
1.
Strnad, Pavel, Guo-Zhong Tao, Jim Schilling, et al.. (2008). “Toxic memory” via chaperone modification is a potential mechanism for rapid mallory-denk body reinduction. Hepatology. 48(3). 931–942. 19 indexed citations
2.
Nadeau, Kari C., Wendy Wong, Ya‐Wun Yang, et al.. (2006). Identification of Specific Chemokines and Apoptosis Molecules in Pediatric Idiopathic Neutropenia.. Blood. 108(11). 3851–3851. 2 indexed citations
3.
Bieber, Allan J., Peter M. Snow, Michael Hortsch, et al.. (1989). Drosophila neuroglian: A member of the immunoglobulin superfamily with extensive homology to the vertebrate neural adhesion molecule L1. Cell. 59(3). 447–460. 342 indexed citations
4.
Ignatius, Michael J., Peter Gebicke-Härter, J. H. Pate Skene, et al.. (1986). Expression of apolipoprotein E during nerve degeneration and regeneration.. Proceedings of the National Academy of Sciences. 83(4). 1125–1129. 469 indexed citations
5.
Newman, Barbara A., Jerry Liao, Flavio Gruezo, et al.. (1986). Immunochemical studies of mouse monoclonal antibodies to dextran B1355S—II. Combining site specificity, sequence, idiotype and affinity. Molecular Immunology. 23(4). 413–424. 16 indexed citations
6.
Atlas, Steven A., Hollis D. Kleinert, Maria Jose F. Camargo, et al.. (1984). Purification, sequencing and synthesis of natriuretic and vasoactive rat atrial peptide. Nature. 309(5970). 717–719. 357 indexed citations
7.
Federspiel, Nancy A., Stephen M. Beverley, Jim Schilling, & Robert Schimke. (1984). Novel DNA rearrangements are associated with dihydrofolate reductase gene amplification.. Journal of Biological Chemistry. 259(14). 9127–9140. 80 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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