Joel D. Schilling

8.9k citations
91 papers · 6.5k indexed · 5 hit papers · h-index 38

Joel D. Schilling

88 papers receiving 6.4k citations

Hit Papers

Dynamic Shifts ...2452001202620092017250500750

Peers

Joel D. Schilling
Comparison fields: 5 of 133
  • Endocrinology 1.2k
  • Urology 658
  • Epidemiology 2.6k
  • Immunology 1.5k
  • Molecular Medicine 354
Replace Kelli L. Boyd with:
Kelli L. Boyd United States
Yolanda S. López-Boado United States
Yue Zhao China
Koichi S. Kobayashi United States
Stefan Hippenstiel Germany
Jianjin Shi China
Kim Newton United States
Vijay Rathinam United States
Giuseppe Penna Italy
Michel Chignard France
Joel D. Schilling relative to Kelli L. Boyd United States Kelli L. Boyd's profile →
Citations per field
00.5×10.8×
Kelli L. Boyd · 1×
Citations per year

Countries citing papers authored by Joel D. Schilling

Since Specialization
Citations

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

Fields of papers citing papers by Joel D. Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Joel D. Schilling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joel D. Schilling Line = papers co-authored together Joel D. Schilling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20242
4 202314
5 202318
6 20227
7
Dynamic Shifts in the Composition of Resident and Recruited Macrophages Influence Tissue Remodeling in NASHbreakdown →
2021245
8 202054
9 20202
10 20201
11 202047
12 201566
13 20151
14
Distinct macrophage lineages contribute to disparate patterns of cardiac recovery and remodeling in the neonatal and adult heartbreakdown →
2014586
15 2014114
16 201156
17
Intracellular Bacterial Biofilm-Like Pods in Urinary Tract Infectionsbreakdown →
2003868
18 20025
19 2001199
20 200181

About Joel D. Schilling

Joel D. Schilling is a scholar working on Transplantation, Endocrinology and Epidemiology, having authored 91 papers that have together received 6.5k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (17 papers), Mechanical Circulatory Support Devices (16 papers), Cardiac Structural Anomalies and Repair (14 papers), Urinary Tract Infections Management (12 papers), Liver Disease Diagnosis and Treatment (9 papers), Inflammasome and immune disorders (9 papers), Immune cells in cancer (9 papers) and Renal Transplantation Outcomes and Treatments (8 papers). The work is most often cited by research in Endocrinology (1.2k citations), Urology (658 citations) and Epidemiology (2.6k citations). Joel D. Schilling has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Scott J. Hultgren, Matthew A. Mulvey, Kassandra Weber, Robyn Roth, Joseph J. Palermo, John Heuser, Gregory G. Anderson, Robin G. Lorenz, Douglas L. Mann and Slava Epelman. Their work appears in journals such as Science, 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.

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