Keith McFarland

1.9k total citations · 1 hit paper
7 papers, 1.6k citations indexed

About

Keith McFarland is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Keith McFarland has authored 7 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cell Biology. Recurrent topics in Keith McFarland's work include Hypothalamic control of reproductive hormones (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and Signaling Pathways in Disease (1 paper). Keith McFarland is often cited by papers focused on Hypothalamic control of reproductive hormones (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and Signaling Pathways in Disease (1 paper). Keith McFarland collaborates with scholars based in United States, Germany and Japan. Keith McFarland's co-authors include Heidi Phillips, Rolf Sprengel, Martin Köhler, Deborah L. Segaloff, Nora Rosemblit, Károly Nikolics, Peter H. Seeburg, William J. Lucas, Jan Monzer and Byung-Chun Yoo and has published in prestigious journals such as Science, Neuron and The EMBO Journal.

In The Last Decade

Keith McFarland

7 papers receiving 1.6k citations

Hit Papers

Lutropin-Choriogonadotropin Receptor: An Unusual Member o... 1989 2026 2001 2013 1989 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith McFarland United States 6 865 449 400 262 234 7 1.6k
C. Chen United States 18 1.3k 1.5× 317 0.7× 225 0.6× 71 0.3× 309 1.3× 40 1.8k
Susannah Varmuza Canada 22 1.7k 2.0× 97 0.2× 389 1.0× 236 0.9× 673 2.9× 49 2.6k
Takashi W. Ijiri Japan 13 1.4k 1.7× 869 1.9× 264 0.7× 164 0.6× 426 1.8× 14 2.0k
Günther Zehetner United Kingdom 14 1.0k 1.2× 148 0.3× 145 0.4× 108 0.4× 663 2.8× 17 1.3k
Y. C. Chiang United States 16 985 1.1× 162 0.4× 202 0.5× 75 0.3× 127 0.5× 34 1.4k
Rika Suzuki Japan 18 1.6k 1.9× 141 0.3× 199 0.5× 54 0.2× 696 3.0× 57 2.3k
Takehito Kaneko Japan 24 1.4k 1.6× 108 0.2× 479 1.2× 69 0.3× 864 3.7× 80 2.2k
Jeffrey E. Welch United States 20 619 0.7× 38 0.1× 749 1.9× 86 0.3× 389 1.7× 24 1.4k
Neal C. Birnberg United States 8 1.4k 1.6× 79 0.2× 57 0.1× 344 1.3× 925 4.0× 12 2.1k
Nathalie Bonneaud France 19 1.9k 2.2× 561 1.2× 218 0.5× 203 0.8× 651 2.8× 25 2.4k

Countries citing papers authored by Keith McFarland

Since Specialization
Citations

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

Fields of papers citing papers by Keith McFarland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith McFarland

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

All Works

7 of 7 papers shown
1.
Xoconostle‐Cázares, Beatriz, Yu Xiang, Roberto Ruíz‐Medrano, et al.. (1999). Plant Paralog to Viral Movement Protein That Potentiates Transport of mRNA into the Phloem. Science. 283(5398). 94–98. 363 indexed citations
2.
Ishiwatari, Y., Toru Fujiwara, Keith McFarland, et al.. (1998). Rice phloem thioredoxin h has the capacity to mediate its own cell-to-cell transport through plasmodesmata. Planta. 205(1). 12–22. 140 indexed citations
3.
Tanaka, Hideaki, Ichiro Kubota, Keith McFarland, et al.. (1991). Molecular cloning and expression of a novel adhesion molecule, SC1. Neuron. 7(4). 535–545. 180 indexed citations
4.
McFarland, Keith, Rolf Sprengel, Heidi Phillips, et al.. (1989). Lutropin-Choriogonadotropin Receptor: An Unusual Member of the G Protein-Coupled Receptor Family. Science. 245(4917). 494–499. 823 indexed citations breakdown →
5.
Schofield, Peter R., Keith McFarland, J N Wilcox, et al.. (1989). Molecular characterization of a new immunoglobulin superfamily protein with potential roles in opioid binding and cell contact.. The EMBO Journal. 8(2). 489–495. 103 indexed citations
6.
McFarland, Keith, J. Ramachandran, & Carl Grünfeld. (1989). Peptide-Based Radioimmunoassay for Insulin Receptor: Detection of Insulin-Stimulated Downregulation in IM-9 Lymphocytes. Diabetes. 38(8). 987–990. 2 indexed citations
7.
Grünfeld, Carl, Judy K. Shigenaga, Baojun Huang, et al.. (1987). Identification of the Intact Insulin Receptor Using a Sequence-Specific Antibody Directed against the CTerminus of the β-Subunit*. Endocrinology. 121(3). 948–957. 17 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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