James W. Schilling

2.9k citations
28 papers · 2.3k indexed · 2 hit papers · h-index 21
Topics
Lipoproteins and Cardiovascular Health (4 papers)Peptidase Inhibition and Analysis (4 papers)Machine Learning in Bioinformatics (3 papers)

In The Last Decade

James W. Schilling

28 papers receiving 2.2k citations

Hit Papers

Primary structures of three human neutrophil defensins.198520261998201219851988100200300400

Peers

James W. Schilling
Comparison fields: 5 of 115
  • Molecular Biology 1.2k
  • Microbiology 384
  • Immunology 373
  • Cardiology and Cardiovascular Medicine 360
  • Genetics 300
Replace Keith P. Ray with:
Keith P. Ray United Kingdom
Y Kaziro Japan
F. Van Leuven Belgium
D R Marshak United States
Songping Liang China
Mary Ann D. Brow United States
A. Francis Stewart Germany
Mariana S. Araújo Brazil
Xiang‐Jiao Yang Canada
Jean‐Louis Dacheux France
James W. Schilling relative to Keith P. Ray United Kingdom Keith P. Ray's profile →
Citations per field
00.5×2.6×
Keith P. Ray · 1×
Citations per year

Countries citing papers authored by James W. Schilling

Since Specialization
Citations

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

Fields of papers citing papers by James W. Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James W. Schilling

This figure shows the co-authorship network connecting the top 25 collaborators of James W. Schilling. A scholar is included among the top collaborators of James W. 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 James W. Schilling. James W. Schilling 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
#WorkIndexed citations
1 9
2 112
3 81
4 134
5 48
6 78
7 34
8 27
9 11
10 5
11 15
12 50
13 255
14 7
15 45
16 25
17 17
18
Primary structures of three human neutrophil defensins.breakdown →
428
19 109
20 16

About James W. Schilling

James W. Schilling is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Peptidase Inhibition and Analysis (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Microbiology (384 citations), Behavioral Neuroscience (77 citations) and Molecular Biology (1.2k citations). James W. Schilling has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Michael E. Selsted, S S Harwig, Tomas Ganz, Robert I. Lehrer, Judith Miller, Ann Arfsten, Robert M. Scarborough, Forrest Fuller, John Lewicki and Dale B. Schenk. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026