Robert Schulingkamp
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
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- Neuroscience and Neuropharmacology Research
Papers in
-
- Advanced biosensing and bioanalysis techniques 2
- Retinoids in leukemia and cellular processes 1
- Oncology 3
- CAR-T cell therapy research 2
- Co-authors
- Robert B. Raffa (6 shared papers)Dong‐Zong Hung (1 shared paper)Tiziana Pagano (1 shared paper)Joseph M. Valdez (1 shared paper)Robert B. Raffa (1 shared paper)Shawn D. Spencer (2 shared papers)Vincent J. Aloyo (1 shared paper)Ronald J. Tallarida (1 shared paper)
- Journals
- Cancer Research (2 papers)Toxicologic Pathology (2 papers)Neuroscience & Biobehavioral Reviews (1 paper)Human Gene Therapy (1 paper)Blood Advances (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Robert Schulingkamp
13 papers receiving 629 citations
Peers
Comparison fields: 5 of 95
- Endocrine and Autonomic Systems 88
- Cellular and Molecular Neuroscience 138
- Neurology 51
- Physiology 153
- Endocrinology, Diabetes and Metabolism 74
Countries citing papers authored by Robert Schulingkamp
This map shows the geographic impact of Robert Schulingkamp'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 Robert Schulingkamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Schulingkamp more than expected).
Fields of papers citing papers by Robert Schulingkamp
This network shows the impact of papers produced by Robert Schulingkamp. 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 Robert Schulingkamp. The network helps show where Robert Schulingkamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Schulingkamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 411 | |
| 2 | 2001 | 84 | |
| 3 | 2020 | 37 | |
| 4 | 2000 | 22 | |
| 5 | 2002 | 22 | |
| 6 | 2019 | 13 | |
| 7 | 2005 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2007 | 9 | |
| 10 | 2002 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2002 | 6 | |
| 13 | 2020 | 1 | |
| 14 | 2022 | 0 |
About Robert Schulingkamp
Robert Schulingkamp is a scholar working on Molecular Biology, Oncology, Surgery, Small Animals and Physical and Theoretical Chemistry, having authored 14 papers that have together received 644 indexed citations. Recurring topics across this work include CAR-T cell therapy research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Animal testing and alternatives (2 papers), thermodynamics and calorimetric analyses (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Cancer Genomics and Diagnostics (1 paper), Microtubule and mitosis dynamics (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (88 citations), Cellular and Molecular Neuroscience (138 citations), Neurology (51 citations), Physiology (153 citations) and Endocrinology, Diabetes and Metabolism (74 citations). Robert Schulingkamp has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Robert B. Raffa, Dong‐Zong Hung, Tiziana Pagano, Joseph M. Valdez, Robert B. Raffa, Shawn D. Spencer, Vincent J. Aloyo, Ronald J. Tallarida, Jocelyn Sendecki and Gerald Chu. Their work appears in journals such as Cancer Research, Toxicologic Pathology, Neuroscience & Biobehavioral Reviews, Human Gene Therapy and Blood Advances.
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.