L. H. Lazarus

1.3k total citations
34 papers, 1.0k citations indexed

About

L. H. Lazarus is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Microbiology. According to data from OpenAlex, L. H. Lazarus has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 5 papers in Microbiology. Recurrent topics in L. H. Lazarus's work include Neuropeptides and Animal Physiology (22 papers), Receptor Mechanisms and Signaling (12 papers) and Chemical Synthesis and Analysis (7 papers). L. H. Lazarus is often cited by papers focused on Neuropeptides and Animal Physiology (22 papers), Receptor Mechanisms and Signaling (12 papers) and Chemical Synthesis and Analysis (7 papers). L. H. Lazarus collaborates with scholars based in United States, Italy and Japan. L. H. Lazarus's co-authors include D. H. Bryant, M. W. Burns, Roger Guillemin, Nicholas Ling, Marvin R. Brown, Marilyn H. Perrin, W.E. Wilson, Severo Salvadori, G Jahnke and Roberto Tomatis and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

L. H. Lazarus

34 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. H. Lazarus United States 16 645 604 215 141 88 34 1.0k
Patrizia M. Germano United States 17 246 0.4× 221 0.4× 99 0.5× 37 0.3× 62 0.7× 36 695
Jacqueline Higelin Switzerland 13 288 0.4× 448 0.7× 109 0.5× 27 0.2× 53 0.6× 15 936
R. Kage United States 13 479 0.7× 410 0.7× 120 0.6× 9 0.1× 41 0.5× 22 704
Ayako Matsuo Japan 12 167 0.3× 389 0.6× 131 0.6× 13 0.1× 154 1.8× 29 811
Katrien De Clercq Belgium 15 191 0.3× 225 0.4× 193 0.9× 11 0.1× 119 1.4× 23 867
Chia Lin Chang Taiwan 15 448 0.7× 428 0.7× 124 0.6× 9 0.1× 125 1.4× 33 909
J. R. Greenwell United Kingdom 16 229 0.4× 596 1.0× 121 0.6× 12 0.1× 9 0.1× 32 1.0k
Priyanka Pundir Canada 11 127 0.2× 350 0.6× 533 2.5× 561 4.0× 7 0.1× 18 1.6k
Jelka Gabrilovac Croatia 15 247 0.4× 307 0.5× 83 0.4× 36 0.3× 10 0.1× 63 719
William King United States 11 54 0.1× 321 0.5× 50 0.2× 30 0.2× 93 1.1× 16 1000

Countries citing papers authored by L. H. Lazarus

Since Specialization
Citations

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

Fields of papers citing papers by L. H. Lazarus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. H. Lazarus. 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 L. H. Lazarus. The network helps show where L. H. Lazarus may publish in the future.

Co-authorship network of co-authors of L. H. Lazarus

This figure shows the co-authorship network connecting the top 25 collaborators of L. H. Lazarus. A scholar is included among the top collaborators of L. H. Lazarus 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 L. H. Lazarus. L. H. Lazarus 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.
Jinsmaa, Yunden, Ewa D. Marczak, Gianfranco Balboni, Severo Salvadori, & L. H. Lazarus. (2008). Inhibition of the development of morphine tolerance by a potent dual μ-/δ-opioid antagonist, H-Dmt-Tic-Lys-NH-CH2-Ph. Pharmacology Biochemistry and Behavior. 90(4). 651–657. 9 indexed citations
2.
Lazarus, L. H., et al.. (2006). Dimethyltyrosine, the Viagra of Opioids. Chemical Research in Chinese Universities. 22(2). 258–262. 1 indexed citations
3.
Tóth, Petra, Fabien M. Décaillot, Dominique Filliol, et al.. (2005). Inverse Agonism and Neutral Antagonism at Wild-Type and Constitutively Active Mutant Delta Opioid Receptors. Journal of Pharmacology and Experimental Therapeutics. 313(1). 410–421. 29 indexed citations
4.
Salvadori, Severo, et al.. (2003). Selective d‐opioid receptor antagonist N,N(CH 3) 2 ‐Dmt‐Tic‐OH does not reduce ethanol intake in alcohol‐preferring AA rats. Addiction Biology. 8(2). 173–179. 18 indexed citations
5.
Okada, Yoshio, et al.. (1999). Synthesis of Pyrazinone Ring-Containing Opioid Mimetics and Examination of Their Opioid Receptor-Binding Activity.. Chemical and Pharmaceutical Bulletin. 47(8). 1193–1195. 4 indexed citations
6.
Salvadori, Severo, Delia Picone, Teodorico Tancredi, et al.. (1997). Solution Conformation of Nociceptin. Biochemical and Biophysical Research Communications. 233(3). 640–643. 24 indexed citations
7.
Salvadori, Severo, et al.. (1994). Prerequisite for His4 in deltorphin A for high? opioid receptor selectivity. Amino Acids. 7(3). 291–304. 10 indexed citations
8.
Lazarus, L. H., Severo Salvadori, Vincenzo Santagada, Roberto Tomatis, & W.E. Wilson. (1991). Function of negative charge in the "address domain" of deltorphins. Journal of Medicinal Chemistry. 34(4). 1350–1355. 57 indexed citations
9.
Wilson, W.E., L. H. Lazarus, & K. B. Tomer. (1989). Bradykinin and Kininogens in Bovine Milk. Journal of Biological Chemistry. 264(30). 17777–17783. 23 indexed citations
10.
Lazarus, L. H., et al.. (1988). Neuromedin B: Physiological and Pharmacological Perturbations. Annals of the New York Academy of Sciences. 547(1). 404–414. 6 indexed citations
11.
Guglietta, Antonio, et al.. (1988). Effects and Mechanism of Action of Lithium Chloride on Gastric Acid Secretion in Rats. Gastroenterology. 95(6). 1454–1459. 2 indexed citations
12.
Lazarus, L. H., et al.. (1988). Assessment of neuromedin B polyclonal antibodies as molecular probes in neural tissue. Journal of Neuroscience Methods. 23(2). 161–172. 3 indexed citations
13.
Gaudino, Giovanni, Aldo Fasolo, Giorgio R. Merlo, et al.. (1985). Active peptides from amphibian skin are also amphibian neuropeptides. Peptides. 6. 209–213. 8 indexed citations
14.
Chisholm, D., et al.. (1983). Comparison of Potency of Porcine Insulin and Semisynthetic Human Insulin at 3 Dose Levels Using the Euglycaemic Clamp. Hormone and Metabolic Research. 15(9). 415–418. 7 indexed citations
15.
Lazarus, L. H., Marvin R. Brown, & Marilyn H. Perrin. (1977). Distribution, localization and characteristics of neurotensin binding sites in the rat brain. Neuropharmacology. 16(9). 625–629. 108 indexed citations
16.
Lazarus, L. H., Nicholas Ling, & Roger Guillemin. (1976). beta-Lipotropin as a prohormone for the morphinomimetic peptides endorphins and enkephalins.. Proceedings of the National Academy of Sciences. 73(6). 2156–2159. 152 indexed citations
17.
Bryant, D. H., M. W. Burns, & L. H. Lazarus. (1975). Identification of IgG antibody as a carrier of reaginic activity in asthmatic patients. Journal of Allergy and Clinical Immunology. 56(6). 417–428. 55 indexed citations
18.
Bryant, D. H., M. W. Burns, & L. H. Lazarus. (1973). New Type of Allergic Asthma due to IgG "Reaginic" Antibody. BMJ. 4(5892). 589–592. 67 indexed citations
19.
Lazarus, L. H., et al.. (1963). Effect of Varying Doses of Methopyrapone (Metopirone) on the Secretion Rate of Cortisol. The Journal of Clinical Endocrinology & Metabolism. 23(8). 773–775. 8 indexed citations
20.
Lazarus, L. H.. (1962). Factors Influencing the Accuracy of Cortisol Secretion Rate Estimations. The Journal of Clinical Endocrinology & Metabolism. 22(6). 581–586. 8 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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