Jay G. Wohlgemuth

3.3k total citations · 1 hit paper
48 papers, 2.3k citations indexed

About

Jay G. Wohlgemuth is a scholar working on Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jay G. Wohlgemuth has authored 48 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 13 papers in Molecular Biology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jay G. Wohlgemuth's work include Transplantation: Methods and Outcomes (14 papers), Erythrocyte Function and Pathophysiology (8 papers) and Viral Infections and Immunology Research (8 papers). Jay G. Wohlgemuth is often cited by papers focused on Transplantation: Methods and Outcomes (14 papers), Erythrocyte Function and Pathophysiology (8 papers) and Viral Infections and Immunology Research (8 papers). Jay G. Wohlgemuth collaborates with scholars based in United States, Germany and Italy. Jay G. Wohlgemuth's co-authors include Mary K. Crow, Kyriakos A. Kirou, Samia Mora, Michael P. Caulfield, Paul M. Ridker, Amit Khera, Feras Hantash, Brendan M. Everett, R. Woodward and James Prentice and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Jay G. Wohlgemuth

45 papers receiving 2.2k 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.

Lipoprotein(a) Concentrations, Rosuvastatin Therapy, and Residual Vascular Risk

2013 319 citations Michael P. Caulfield, Jay G. Wohlgemuth et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay G. Wohlgemuth United States	18	817	673	525	492	482	48	2.3k
Birgitta Sundelin Sweden	29	188 0.2×	559 0.8×	738 1.4×	235 0.5×	605 1.3×	54	2.5k
Steven Rosenberg United States	17	483 0.6×	118 0.2×	154 0.3×	366 0.7×	351 0.7×	49	1.4k
David Hagerty United States	19	739 0.9×	1.6k 2.3×	1.3k 2.5×	65 0.1×	412 0.9×	34	4.2k
Shigetoshi Yoshida Japan	33	848 1.0×	296 0.4×	53 0.1×	213 0.4×	315 0.7×	132	3.1k
Atsushi Otsuka Japan	22	319 0.4×	171 0.3×	335 0.6×	74 0.2×	271 0.6×	147	1.7k
Sally Self United States	20	351 0.4×	286 0.4×	185 0.4×	150 0.3×	207 0.4×	55	1.2k
Kyrill S. Rogacev Germany	20	338 0.4×	919 1.4×	99 0.2×	298 0.6×	478 1.0×	33	2.1k
Qurratulain Hasan India	29	419 0.5×	294 0.4×	257 0.5×	155 0.3×	488 1.0×	108	2.0k
Masayuki Endoh Japan	25	162 0.2×	367 0.5×	159 0.3×	153 0.3×	436 0.9×	122	2.0k
Sibylle von Vietinghoff Germany	27	207 0.3×	1.1k 1.6×	135 0.3×	98 0.2×	445 0.9×	68	1.9k

Countries citing papers authored by Jay G. Wohlgemuth

Since Specialization

Citations

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

Fields of papers citing papers by Jay G. Wohlgemuth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay G. Wohlgemuth

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

All Works

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20 of 20 papers shown

Shaginurova, Guzel, Elena Grigorenko, Jay G. Wohlgemuth, et al.. (2024). Machine Learning Analysis Using RNA Sequencing to Distinguish Neuromyelitis Optica from Multiple Sclerosis and Identify Therapeutic Candidates. Journal of Molecular Diagnostics. 26(6). 520–529. 2 indexed citations

Kaufman, Harvey W., William A. Meyer, Nigel J. Clarke, et al.. (2023). Assessing Vulnerability to COVID-19 in High-Risk Populations: The Role of SARS-CoV-2 Spike-Targeted Serology. Population Health Management. 26(1). 29–36. 4 indexed citations

Ferreira, Ana, Alicia Rivera, Jay G. Wohlgemuth, et al.. (2022). Dysregulated Erythroid Mg2+ Efflux in Type 2 Diabetes. Frontiers in Cell and Developmental Biology. 10. 861644–861644. 4 indexed citations

Vandorpe, David H., Alicia Rivera, Markus Ganter, et al.. (2022). Purinergic signaling is essential for full Psickle activation by hypoxia and by normoxic acid pH in mature human sickle red cells and in vitro-differentiated cultured human sickle reticulocytes. Pflügers Archiv - European Journal of Physiology. 474(5). 553–565.

Shmukler, Boris E., Alicia Rivera, Katherine K. Nishimura, et al.. (2022). Erythroid‐specific inactivation of Slc12a6/Kcc3 by EpoR promoter‐driven Cre expression reduces K‐Cl cotransport activity in mouse erythrocytes. Physiological Reports. 10(5). e15186–e15186. 2 indexed citations

Kissler, Stephen M., Joseph R. Fauver, Christina Mack, et al.. (2021). Viral dynamics of acute SARS-CoV-2 infection and applications to diagnostic and public health strategies. PLoS Biology. 19(7). e3001333–e3001333. 91 indexed citations

Farukhi, Zareen, Olga Demler, Michael P. Caulfield, et al.. (2020). Comparison of nonfasting and fasting lipoprotein subfractions and size in 15,397 apparently healthy individuals: An analysis from the VITamin D and OmegA-3 TriaL. Journal of clinical lipidology. 14(2). 241–251. 16 indexed citations

Fragala, Maren S., et al.. (2019). Self-Insured Employer Health Benefits Strategy Established a Negative Cost Trend While Improving Performance. Population Health Management. 22(6). 547–554. 4 indexed citations

Shmukler, Boris E., Alicia Rivera, Parul Bhargava, et al.. (2019). Genetic disruption of KCC cotransporters in a mouse model of thalassemia intermedia. Blood Cells Molecules and Diseases. 81. 102389–102389. 6 indexed citations

10.

Luttmann‐Gibson, Heike, Samia Mora, Carlos A. Camargo, et al.. (2019). Serum 25-hydroxyvitamin D in the VITamin D and OmegA-3 TriaL (VITAL): Clinical and demographic characteristics associated with baseline and change with randomized vitamin D treatment. Contemporary Clinical Trials. 87. 105854–105854. 28 indexed citations

11.

Donahue, Amber C., et al.. (2011). Multiplex ligation-dependent probe amplification for detection of chromosomal abnormalities in myelodysplastic syndrome and acute myeloid leukemia. Leukemia Research. 35(11). 1477–1483. 16 indexed citations

12.

Bernstein, Daniel, Howard J. Eisen, Seema Mital, et al.. (2007). Gene Expression Profiling Distinguishes a Molecular Signature for Grade 1B Mild Acute Cellular Rejection in Cardiac Allograft Recipients. The Journal of Heart and Lung Transplantation. 26(12). 1270–1280. 28 indexed citations

13.

Deng, Mario C., Martín Cadeiras, Helen Baron, et al.. (2006). 157. The Journal of Heart and Lung Transplantation. 25(2). S98–S98. 1 indexed citations

14.

Marboe, Charles C., Margaret E. Billingham, Howard J. Eisen, et al.. (2005). Nodular Endocardial Infiltrates (Quilty Lesions) Cause Significant Variability in Diagnosis of ISHLT Grade 2 and 3A Rejection in Cardiac Allograft Recipients. The Journal of Heart and Lung Transplantation. 24(7). S219–S226. 99 indexed citations

15.

Deng, Mario C., Howard J. Eisen, Mandeep R. Mehra, et al.. (2005). Noninvasive Discrimination of Rejection in Cardiac Allograft Recipients Using Gene Expression Profiling. American Journal of Transplantation. 6(1). 150–160. 361 indexed citations

16.

Mehra, Mandeep R., Patricia A. Uber, Myung H. Park, et al.. (2004). 1051-127 Molecular pathways of cardiac allograft dysfunction independent of acute cellular rejection. Journal of the American College of Cardiology. 43(5). A175–A175. 2 indexed citations

17.

Crow, Mary K. & Jay G. Wohlgemuth. (2003). Microarray analysis of gene expression in lupus.. Arthritis Research. 5(6). 279–279. 150 indexed citations

18.

Smith, Jessica G., Mark S. Caddle, Jay G. Wohlgemuth, et al.. (1995). Replication of Centromere II of Schizosaccharomyces pombe. Molecular and Cellular Biology. 15(9). 5165–5172. 28 indexed citations

19.

Wohlgemuth, Jay G., et al.. (1994). Physical mapping of origins of replication in the fission yeast Schizosaccharomyces pombe.. Molecular Biology of the Cell. 5(8). 839–849. 33 indexed citations

20.

Smith, David W., Jay G. Wohlgemuth, Brian R. Calvi, I J Franklin, & William M Gelbart. (1993). hobo enhancer trapping mutagenesis in Drosophila reveals an insertion specificity different from P elements.. Genetics. 135(4). 1063–1076. 53 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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