J V Warms

796 total citations · 1 hit paper
8 papers, 662 citations indexed

About

J V Warms is a scholar working on Molecular Biology, Biochemistry and Clinical Biochemistry. According to data from OpenAlex, J V Warms has authored 8 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Biochemistry and 2 papers in Clinical Biochemistry. Recurrent topics in J V Warms's work include Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). J V Warms is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). J V Warms collaborates with scholars based in United States, Israel and Canada. J V Warms's co-authors include I A Rose, Avram Hershko, Arthur L. Haas, G.S. Kaklij, Donald J. Kuo and Lee‐Jun Wong and has published in prestigious journals such as Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

J V Warms

8 papers receiving 629 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.

Ubiquitin-activating enzyme. Mechanism and role in protein-ubiquitin conjugation.

1982 347 citations Arthur L. Haas, J V Warms et al. Journal of Biological Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J V Warms United States	8	581	180	119	96	66	8	662
R Hough United States	11	998 1.7×	292 1.6×	322 2.7×	140 1.5×	67 1.0×	12	1.1k
Cynthia S. Collins United States	9	732 1.3×	61 0.3×	79 0.7×	49 0.5×	86 1.3×	11	848
Peter Rellos Australia	7	614 1.1×	176 1.0×	505 4.2×	70 0.7×	34 0.5×	11	853
Birgitta Tomkinson Sweden	15	536 0.9×	441 2.5×	83 0.7×	48 0.5×	61 0.9×	35	682
Fumio Osaka Japan	11	861 1.5×	259 1.4×	172 1.4×	147 1.5×	109 1.7×	12	935
Aiyang Cheng United States	12	556 1.0×	172 1.0×	167 1.4×	26 0.3×	61 0.9×	13	699
Rayappa R. Gali Australia	8	750 1.3×	205 1.1×	223 1.9×	180 1.9×	42 0.6×	8	821
Maria A. Cueto United States	7	712 1.2×	168 0.9×	44 0.4×	63 0.7×	62 0.9×	8	815
Michaël Marie Norway	13	569 1.0×	329 1.8×	246 2.1×	51 0.5×	72 1.1×	14	768
Kimon Lemonidis United Kingdom	13	370 0.6×	74 0.4×	159 1.3×	42 0.4×	61 0.9×	16	487

Countries citing papers authored by J V Warms

Since Specialization

Citations

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

Fields of papers citing papers by J V Warms

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J V Warms. 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 J V Warms. The network helps show where J V Warms may publish in the future.

Co-authorship network of co-authors of J V Warms

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

All Works

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8 of 8 papers shown

1.

Warms, J V, et al.. (1992). A ubiquitin C-terminal isopeptidase that acts on polyubiquitin chains. Role in protein degradation.. Journal of Biological Chemistry. 267(2). 719–727. 133 indexed citations

2.

Rose, I A, J V Warms, & Donald J. Kuo. (1987). Concentration and partitioning of intermediates in the fructose bisphosphate aldolase reaction. Comparison of the muscle and liver enzymes.. Journal of Biological Chemistry. 262(2). 692–701. 23 indexed citations

3.

Rose, I A & J V Warms. (1987). A specific endpoint assay for ubiquitin.. Proceedings of the National Academy of Sciences. 84(6). 1477–1481. 20 indexed citations

4.

Haas, Arthur L., J V Warms, Avram Hershko, & I A Rose. (1982). Ubiquitin-activating enzyme. Mechanism and role in protein-ubiquitin conjugation.. Journal of Biological Chemistry. 257(5). 2543–2548. 347 indexed citations breakdown →

5.

Rose, I A, J V Warms, & Avram Hershko. (1979). A high molecular weight protease in liver cytosol.. Journal of Biological Chemistry. 254(17). 8135–8138. 59 indexed citations

6.

Rose, I A, J V Warms, & Lee‐Jun Wong. (1977). Inhibitors of glucose-1,6-bisphosphate synthase.. Journal of Biological Chemistry. 252(12). 4262–4268. 21 indexed citations

7.

Warms, J V, et al.. (1975). A specific enzyme for glucose 1,6-bisphosphate synthesis.. Journal of Biological Chemistry. 250(9). 3466–3470. 46 indexed citations

8.

Rose, I A & J V Warms. (1969). Glycolysis-dependent Exchange of Diphosphopyridine Nucleotide-3H in Red Blood Cells and Ascites Cells. Journal of Biological Chemistry. 244(5). 1114–1117. 13 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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