Linda S. Robbins

3.0k total citations · 2 hit papers
8 papers, 2.5k citations indexed

About

Linda S. Robbins is a scholar working on Nutrition and Dietetics, Molecular Biology and Sensory Systems. According to data from OpenAlex, Linda S. Robbins has authored 8 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nutrition and Dietetics, 3 papers in Molecular Biology and 2 papers in Sensory Systems. Recurrent topics in Linda S. Robbins's work include Biochemical Analysis and Sensing Techniques (4 papers), Receptor Mechanisms and Signaling (3 papers) and melanin and skin pigmentation (2 papers). Linda S. Robbins is often cited by papers focused on Biochemical Analysis and Sensing Techniques (4 papers), Receptor Mechanisms and Signaling (3 papers) and melanin and skin pigmentation (2 papers). Linda S. Robbins collaborates with scholars based in United States, Iran and Germany. Linda S. Robbins's co-authors include Roger D. Cone, Marty Mortrud, Kathleen G. Mountjoy, Rolf Sprengel, Philip A. Stork, Deborah L. Segaloff, Kenneth R. Johnson, Joseph H. Nadeau, Clifton R. White and Dongsi Lu and has published in prestigious journals such as Science, Cell and Annals of the New York Academy of Sciences.

In The Last Decade

Linda S. Robbins

8 papers receiving 2.4k citations

Hit Papers

The Cloning of a Family of Genes That Encode the Melanoco... 1992 2026 2003 2014 1992 1993 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda S. Robbins United States 7 1.4k 1.3k 913 606 272 8 2.5k
Philippe Walker Canada 24 235 0.2× 166 0.1× 447 0.5× 1.8k 2.9× 1.5k 5.4× 37 2.9k
Pilar Aroca Spain 24 544 0.4× 944 0.7× 43 0.0× 902 1.5× 311 1.1× 38 1.8k
Y. Peng Loh United States 31 210 0.2× 836 0.7× 544 0.6× 1.6k 2.6× 1.1k 4.2× 78 3.0k
Ruth E. Thomas United States 12 296 0.2× 448 0.4× 300 0.3× 1.2k 2.0× 368 1.4× 17 2.2k
Niamh X. Cawley United States 27 117 0.1× 462 0.4× 252 0.3× 1.0k 1.7× 540 2.0× 79 2.1k
An Zhou United States 21 224 0.2× 746 0.6× 387 0.4× 1.3k 2.1× 571 2.1× 52 2.7k
Akihiro Fujikawa Japan 27 56 0.0× 322 0.3× 83 0.1× 999 1.6× 271 1.0× 44 1.9k
Liang Han United States 21 63 0.0× 194 0.2× 126 0.1× 701 1.2× 554 2.0× 42 2.8k
J. Fielding Hejtmancik United States 32 52 0.0× 274 0.2× 127 0.1× 1.9k 3.2× 279 1.0× 63 2.8k
Francisco Gracia‐Navarro Spain 27 267 0.2× 237 0.2× 733 0.8× 753 1.2× 539 2.0× 107 2.4k

Countries citing papers authored by Linda S. Robbins

Since Specialization
Citations

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

Fields of papers citing papers by Linda S. Robbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda S. Robbins. 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 Linda S. Robbins. The network helps show where Linda S. Robbins may publish in the future.

Co-authorship network of co-authors of Linda S. Robbins

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

All Works

8 of 8 papers shown
1.
Soltanian‐Zadeh, Hamid, Joe P. Windham, & Linda S. Robbins. (1997). <title>Semisupervised segmentation of MRI stroke studies</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3034. 437–448. 18 indexed citations
2.
Robbins, Linda S., Dongsi Lu, Eric J. Baack, et al.. (1997). Identification of common polymorphisms in the coding sequence of the human MSH receptor (MCIR) with possible biological effects. Human Mutation. 9(1). 30–36. 62 indexed citations
3.
Robbins, Linda S., Dongsi Lu, Eric J. Baack, et al.. (1997). Identification of common polymorphisms in the coding sequence of the human MSH receptor (MCIR) with possible biological effects. Human Mutation. 9(1). 30–36. 2 indexed citations
4.
Nelson, Cole S., Roger D. Cone, Linda S. Robbins, Charles N. Allen, & J.P. Adelman. (1995). Cloning and expression of a 5HT7 receptor from Xenopus laevis.. PubMed. 3(1). 61–70. 24 indexed citations
5.
Cone, Roger D., Kathleen G. Mountjoy, Linda S. Robbins, et al.. (1993). Cloning and Functional Characterization of a Family of Receptors for the Melanotropic Peptides. Annals of the New York Academy of Sciences. 680(1). 342–363. 112 indexed citations
6.
Robbins, Linda S.. (1993). Pigmentation phenotypes of variant extension locus alleles result from point mutations that alter MSH receptor function. Cell. 72(6). 827–834. 726 indexed citations breakdown →
7.
Mountjoy, Kathleen G., Linda S. Robbins, Marty Mortrud, & Roger D. Cone. (1992). The Cloning of a Family of Genes That Encode the Melanocortin Receptors. Science. 257(5074). 1248–1251. 1375 indexed citations breakdown →
8.
Robbins, Linda S., et al.. (1990). Isolation of TSH and LH/CG Receptor cDNAs from Human Thyroid: Regulation by Tissue Specific Splicing. Molecular Endocrinology. 4(8). 1264–1276. 134 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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