N Ling

3.0k total citations
42 papers, 2.5k citations indexed

About

N Ling is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, N Ling has authored 42 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in N Ling's work include Growth Hormone and Insulin-like Growth Factors (15 papers), Stress Responses and Cortisol (7 papers) and Neuropeptides and Animal Physiology (6 papers). N Ling is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (15 papers), Stress Responses and Cortisol (7 papers) and Neuropeptides and Animal Physiology (6 papers). N Ling collaborates with scholars based in United States, Malaysia and Switzerland. N Ling's co-authors include Frederick Esch, Roger Guillemin, Peter Böhlen, Paul Brazeau, Daniel L. Marks, Roger D. Cone, Shi Ying, Robert Benoit, Andrew Baird and Roger Burgus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

N Ling

41 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N Ling United States 24 939 769 439 355 349 42 2.5k
Françoise Robert France 33 455 0.5× 994 1.3× 495 1.1× 124 0.3× 352 1.0× 89 2.9k
J. C. Porter United States 27 431 0.5× 539 0.7× 339 0.8× 221 0.6× 221 0.6× 56 2.0k
Carmen Clapp Mexico 38 1.5k 1.6× 1.3k 1.7× 247 0.6× 339 1.0× 242 0.7× 159 4.6k
Gonzalo Martı́nez de la Escalera Mexico 37 1.3k 1.4× 1.1k 1.4× 409 0.9× 351 1.0× 201 0.6× 152 4.2k
H Stępień Poland 28 802 0.9× 627 0.8× 355 0.8× 156 0.4× 112 0.3× 179 2.6k
Guck T. Ooi United States 29 1.7k 1.9× 2.0k 2.5× 290 0.7× 143 0.4× 169 0.5× 51 3.7k
Dominic J. Autelitano Australia 28 1.0k 1.1× 469 0.6× 523 1.2× 225 0.6× 281 0.8× 57 2.2k
Bryan L. Spangelo United States 20 376 0.4× 537 0.7× 271 0.6× 138 0.4× 339 1.0× 39 1.7k
W. P. VANDERLAAN United States 30 802 0.9× 1.7k 2.2× 160 0.4× 200 0.6× 95 0.3× 79 3.0k
Iain C.A.F. Robinson United Kingdom 31 628 0.7× 1.5k 2.0× 214 0.5× 754 2.1× 245 0.7× 77 2.7k

Countries citing papers authored by N Ling

Since Specialization
Citations

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

Fields of papers citing papers by N Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N Ling

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

All Works

20 of 20 papers shown
1.
2.
Marks, Daniel L., N Ling, & Roger D. Cone. (2001). Role of the central melanocortin system in cachexia.. PubMed. 61(4). 1432–8. 238 indexed citations
3.
Morin, Stéphanie, et al.. (1999). Differential distribution of urocortin- and corticotropin-releasing factor-like immunoreactivities in the rat brain. Neuroscience. 92(1). 281–291. 126 indexed citations
4.
Hemmer, Bernhard, Marco Vergelli, Bruno Gran, et al.. (1998). Predictable TCR antigen recognition based on peptide scans leads to the identification of agonist ligands with no sequence homology.. PubMed. 160(8). 3631–6. 134 indexed citations
5.
Kahl, Steven D., et al.. (1998). Characterization of [125I-Tyr0]-corticotropin releasing factor (CRF) binding to the CRF binding protein using a scintillation proximity assay. Journal of Neuroscience Methods. 83(2). 103–111. 5 indexed citations
6.
Poliak, Sebastian, Felix Mor, Paul Conlon, et al.. (1997). Stress and autoimmunity: the neuropeptides corticotropin-releasing factor and urocortin suppress encephalomyelitis via effects on both the hypothalamic-pituitary-adrenal axis and the immune system. The Journal of Immunology. 158(12). 5751–5756. 77 indexed citations
7.
Grigoriadis, Dimitri E., et al.. (1996). 125I-Tyro-sauvagine: a novel high affinity radioligand for the pharmacological and biochemical study of human corticotropin-releasing factor 2 alpha receptors.. Molecular Pharmacology. 50(3). 679–686. 83 indexed citations
8.
Petraglia, Felice, A Gallinelli, Alexis Grande, et al.. (1994). Local production and action of follistatin in human placenta.. The Journal of Clinical Endocrinology & Metabolism. 78(1). 205–210. 65 indexed citations
9.
10.
Ling, N, et al.. (1993). Novel anti-inflammatory undecapeptides that contain anisolyated glutamic acid derivatives.. Journal of Pharmacology and Experimental Therapeutics. 267(3). 1321–1326. 7 indexed citations
11.
Ling, N, et al.. (1993). CRF and Related Peptides as Anti‐Inflammatory Agonistsa. Annals of the New York Academy of Sciences. 697(1). 219–228. 20 indexed citations
12.
13.
Shew, Jin‐Yuh, et al.. (1989). Antibodies detecting abnormalities of the retinoblastoma susceptibility gene product (pp110RB) in osteosarcomas and synovial sarcomas.. PubMed. 4(3). 205–14. 82 indexed citations
14.
Arase, Koichi, et al.. (1987). Effects on Feeding Behavior of Rats of a Cryptic Peptide from the C-Terminal End of Prepro-Growth Hormone-Releasing Factor*. Endocrinology. 121(6). 1960–1965. 17 indexed citations
15.
Böhlen, Peter, Andrew Baird, Frederick Esch, N Ling, & Denis Gospodarowicz. (1984). Isolation and partial molecular characterization of pituitary fibroblast growth factor.. Proceedings of the National Academy of Sciences. 81(17). 5364–5368. 184 indexed citations
16.
Baird, Andrew, et al.. (1984). In Vitro and in Vivo Evidence that the C-Terminus of Preproenkephalin-A Circulates as an 8500-Dalton Molecule. Experimental Biology and Medicine. 175(3). 304–308. 11 indexed citations
17.
Huidobro‐Toro, J. Pablo, et al.. (1982). Studies on the structural prerequisites for the activation of the beta-endorphin receptor on the rat vas deferens.. Journal of Pharmacology and Experimental Therapeutics. 222(1). 262–269. 15 indexed citations
18.
Guillemin, Roger, N Ling, & Roger Burgus. (1976). [Endorphins, hypothalamic and neurohypophysial peptides with morphinomimetic activity: isolation and molecular structure of alpha-endorphin].. PubMed. 282(8). 783–5. 51 indexed citations
19.
Blackwell, Richard E., Wylie Vale, Max S. Amoss, et al.. (1973). Lack of effect of native or synthetic LRF on secretion of prolactin in vitro. American Journal of Physiology-Legacy Content. 224(1). 176–179. 4 indexed citations
20.
Rivier, J., Paul Brazeau, Wylie Vale, et al.. (1973). [Solid-phase total synthesis of a tetradecapeptide having the chemical and biological properties of somatostatine].. PubMed. 276(19). 2737–40. 6 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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