K. Sullivan

730 citations
13 papers · 469 · h-index 9

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Physiology top 10%
    • Pain Mechanisms and Treatments
    • Biochemical effects in animals
    • Adipose Tissue and Metabolism
    • Voice and Speech Disorders

Papers in

K. Sullivan

13 papers receiving 447 citations

Peers

K. Sullivan
Comparison fields: 5 of 76
  • Developmental Neuroscience 40
  • Physiology 178
  • Endocrinology, Diabetes and Metabolism 99
  • Neurology 80
  • Cellular and Molecular Neuroscience 74
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Citations per year

Countries citing papers authored by K. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by K. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Sullivan, 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 K. Sullivan Line = papers co-authored together K. Sullivan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1999156
2 200294
3 200866
4 200057
5 200327
6 200124
7
Staging non-small cell carcinoma of the lung using technetium-99m-labeled monoclonal antibodies.
199016
8 201712
9
Radioimmunoscintigraphy in patients with early stage cutaneous malignant melanoma.
19969
10
Gastric antral vascular ectasia (GAVE) in early diffuse SSc: Report from the SCOT trial
20083
11 20002
12
Clinical experience with Tc-99m labeled (N2S2) anti-melanoma antibody fragments and single photon emission computed tomography.
19922
13
Technetium-99m labeled NR-LU-10 monoclonal antibody (MoAb) in assessing patients with carcinoma of the lung
19891

About K. Sullivan

K. Sullivan is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 469 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (4 papers), Pain Mechanisms and Treatments (4 papers), Medical Imaging and Pathology Studies (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Adipose Tissue and Metabolism (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), FOXO transcription factor regulation (1 paper) and Biochemical effects in animals (1 paper). The work is most often cited by research in Developmental Neuroscience (40 citations), Physiology (178 citations), Endocrinology, Diabetes and Metabolism (99 citations), Neurology (80 citations) and Cellular and Molecular Neuroscience (74 citations). K. Sullivan has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Eva L. Feldman, Banu Anlar, Stephen I. Lentz, Rodica Pop‐Busui, Douglas A. Greene, Dennis Larkin, V. Marinescu, Carol Van Huysen, Martin Stevens and Fei Li. Their work appears in journals such as The Laryngoscope, Hormone and Metabolic Research, Diabetic Medicine, Journal of the Peripheral Nervous System and Clinical Oncology.

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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