G Lasser

1.6k total citations · 1 hit paper
6 papers, 1.3k citations indexed

About

G Lasser is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, G Lasser has authored 6 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Physiology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in G Lasser's work include Blood properties and coagulation (3 papers), Adipose Tissue and Metabolism (2 papers) and Regulation of Appetite and Obesity (2 papers). G Lasser is often cited by papers focused on Blood properties and coagulation (3 papers), Adipose Tissue and Metabolism (2 papers) and Regulation of Appetite and Obesity (2 papers). G Lasser collaborates with scholars based in United States. G Lasser's co-authors include Donna Prunkard, Donald C. Foster, David S. Weigle, Thomas R. Bukowski, Joseph L. Kuijper, Stephen C. Woods, Denis G. Baskin, Daniel Porte, Michael W. Schwartz and Randy J. Seeley and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Biotechnology.

In The Last Decade

G Lasser

6 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Specificity of Leptin Action on Elevated Blood Glucose Levels and Hypothalamic Neuropeptide Y Gene Expression in ob/ob Mice

1996 733 citations Michael W. Schwartz, Denis G. Baskin et al. Diabetes profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G Lasser United States	6	990	656	516	368	109	6	1.3k
L. Moizo France	11	978 1.0×	644 1.0×	521 1.0×	386 1.0×	126 1.2×	20	1.4k
Jean–Pierre Laigneau France	10	944 1.0×	621 0.9×	508 1.0×	466 1.3×	113 1.0×	10	1.3k
Marie-Noëlle Bortoluzzi France	3	763 0.8×	489 0.7×	425 0.8×	338 0.9×	117 1.1×	5	1.0k
Kajsa Lindell Sweden	10	617 0.6×	247 0.4×	474 0.9×	432 1.2×	112 1.0×	11	1.2k
J.S. Duncan United Kingdom	13	727 0.7×	386 0.6×	523 1.0×	388 1.1×	83 0.8×	19	979
F. Gaytán Spain	16	609 0.6×	317 0.5×	358 0.7×	179 0.5×	127 1.2×	24	1.2k
Kevin Gamber United States	9	370 0.4×	179 0.3×	211 0.4×	91 0.2×	87 0.8×	9	650
Keval Chandarana United Kingdom	14	645 0.7×	320 0.5×	618 1.2×	80 0.2×	215 2.0×	22	1.3k
K Ohtani Japan	10	551 0.6×	260 0.4×	346 0.7×	352 1.0×	91 0.8×	10	817
Geetali Pradhan United States	12	343 0.3×	174 0.3×	331 0.6×	130 0.4×	139 1.3×	15	720

Countries citing papers authored by G Lasser

Since Specialization

Citations

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

Fields of papers citing papers by G Lasser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Lasser

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

All Works

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6 of 6 papers shown

1.

Lewis, Kenneth B., D.C. Teller, John Fry, G Lasser, & P.D. Bishop. (1997). Crosslinking Kinetics of the Human Transglutaminase, Factor XIII[A₂], Acting on Fibrin Gels and γ-Chain Peptides. Biochemistry. 36(5). 995–1002. 27 indexed citations

2.

Prunkard, Donna, Ian Cottingham, Ian Garner, et al.. (1996). High-level expression of recombinant human fibrinogen in the milk of transgenic mice. Nature Biotechnology. 14(7). 867–871. 41 indexed citations

3.

Schwartz, Michael W., Denis G. Baskin, Thomas R. Bukowski, et al.. (1996). Specificity of Leptin Action on Elevated Blood Glucose Levels and Hypothalamic Neuropeptide Y Gene Expression in ob/ob Mice. Diabetes. 45(4). 531–535. 733 indexed citations breakdown →

4.

Weigle, David S., Thomas R. Bukowski, Donald C. Foster, et al.. (1995). Recombinant ob protein reduces feeding and body weight in the ob/ob mouse.. Journal of Clinical Investigation. 96(4). 2065–2070. 370 indexed citations

5.

Bishop, P.D., G Lasser, I. Le Trong, Ronald E. Stenkamp, & D.C. Teller. (1990). Human recombinant factor XIII from Saccharomyces cerevisiae. Crystallization and preliminary x-ray data.. Journal of Biological Chemistry. 265(23). 13888–13889. 12 indexed citations

6.

Bishop, Paul D., D.C. Teller, Robert A. Smith, et al.. (1990). Expression, purification, and characterization of human factor XIII in Saccharomyces cerevisiae. Biochemistry. 29(7). 1861–1869. 75 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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