Mary Wohltmann

1.9k total citations · 1 hit paper
29 papers, 1.5k citations indexed

About

Mary Wohltmann is a scholar working on Surgery, Molecular Biology and Cell Biology. According to data from OpenAlex, Mary Wohltmann has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 12 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Mary Wohltmann's work include Pancreatic function and diabetes (12 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Mary Wohltmann is often cited by papers focused on Pancreatic function and diabetes (12 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Mary Wohltmann collaborates with scholars based in United States, South Korea and Russia. Mary Wohltmann's co-authors include John Turk, Sasanka Ramanadham, Alan Bohrer, Shunzhong Bao, Zhongmin Ma, Fong‐Fu Hsu, Haowei Song, Gwendalyn J. Randolph, Bryan L. Roth and Richard W. Gross and has published in prestigious journals such as Science, Journal of Biological Chemistry and Immunity.

In The Last Decade

Mary Wohltmann

28 papers receiving 1.4k 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.

Enterically derived high-density lipoprotein restrains liver injury through the portal vein

2021 135 citations Yong‐Hyun Han, Emily J. Onufer et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mary Wohltmann United States	22	827	310	235	211	208	29	1.5k
Zhongji Liao United States	14	656 0.8×	152 0.5×	232 1.0×	245 1.2×	112 0.5×	21	1.6k
Timothy Coskran United States	10	1.3k 1.6×	412 1.3×	322 1.4×	145 0.7×	81 0.4×	21	1.9k
Yong Yan China	26	821 1.0×	115 0.4×	175 0.7×	109 0.5×	152 0.7×	89	1.7k
Shunzhong Bao United States	19	598 0.7×	313 1.0×	183 0.8×	76 0.4×	88 0.4×	28	1.0k
Mads Kjølby Denmark	21	660 0.8×	354 1.1×	248 1.1×	317 1.5×	45 0.2×	46	1.8k
Ranjana Poddar United States	18	425 0.5×	126 0.4×	113 0.5×	177 0.8×	108 0.5×	29	1.2k
Zhihua Qiu China	18	644 0.8×	170 0.5×	214 0.9×	239 1.1×	123 0.6×	43	1.3k
Federica Valsecchi Netherlands	19	1.1k 1.3×	191 0.6×	240 1.0×	91 0.4×	75 0.4×	22	1.6k
Heike Naumann Germany	15	800 1.0×	164 0.5×	135 0.6×	117 0.6×	113 0.5×	18	1.3k
Sampathkumar Rangasamy United States	20	611 0.7×	210 0.7×	88 0.4×	149 0.7×	192 0.9×	44	1.9k

Countries citing papers authored by Mary Wohltmann

Since Specialization

Citations

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

Fields of papers citing papers by Mary Wohltmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Wohltmann

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Wohltmann. A scholar is included among the top collaborators of Mary Wohltmann 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 Mary Wohltmann. Mary Wohltmann 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

Han, Yong‐Hyun, Emily J. Onufer, Li‐Hao Huang, et al.. (2021). Enterically derived high-density lipoprotein restrains liver injury through the portal vein. Science. 373(6553). 135 indexed citations breakdown →

Czepielewski, Rafael S., Emma Erlich, Emily J. Onufer, et al.. (2021). Ileitis-associated tertiary lymphoid organs arise at lymphatic valves and impede mesenteric lymph flow in response to tumor necrosis factor. Immunity. 54(12). 2795–2811.e9. 49 indexed citations

Czepielewski, Rafael S., Emma Erlich, Emily J. Onufer, et al.. (2021). Tertiary Lymphoid Organs Orchestrate Altered Gut to Lymph Node Communication Through Association With Collecting Lymphatic Vessels. SSRN Electronic Journal. 1 indexed citations

Williams, Jesse W., Konstantin Zaitsev, Ki-Wook Kim, et al.. (2020). Limited proliferation capacity of aortic intima resident macrophages requires monocyte recruitment for atherosclerotic plaque progression. Nature Immunology. 21(10). 1194–1204. 138 indexed citations

Song, Haowei, Mary Wohltmann, Min Tan, Jack H. Ladenson, & John Turk. (2014). Group VIA Phospholipase A2 Mitigates Palmitate-induced β-Cell Mitochondrial Injury and Apoptosis. Journal of Biological Chemistry. 289(20). 14194–14210. 25 indexed citations

Lei, Xiaoyong, Robert N. Bone, Tomader Ali, et al.. (2013). Genetic modulation of islet β-cell iPLA₂β expression provides evidence for its impact on β-cell apoptosis and autophagy. Islets. 5(1). 29–44. 26 indexed citations

Cheon, Yewon, Hyung‐Wook Kim, Miki Igarashi, et al.. (2012). Disturbed brain phospholipid and docosahexaenoic acid metabolism in calcium-independent phospholipase A2-VIA (iPLA2β)-knockout mice. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1821(9). 1278–1286. 60 indexed citations

Song, Haowei, Mary Wohltmann, Min Tan, et al.. (2011). Group VIA PLA2 (iPLA2β) Is Activated Upstream of p38 Mitogen-activated Protein Kinase (MAPK) in Pancreatic Islet β-Cell Signaling. Journal of Biological Chemistry. 287(8). 5528–5541. 27 indexed citations

Song, Haowei, Henry W. Rohrs, Min Tan, et al.. (2010). Effects of Endoplasmic Reticulum Stress on Group VIA Phospholipase A2 in Beta Cells Include Tyrosine Phosphorylation and Increased Association with Calnexin*. Journal of Biological Chemistry. 285(44). 33843–33857. 11 indexed citations

10.

Basselin, Mireille, Angelo O. Rosa, Epolia Ramadan, et al.. (2010). Imaging decreased brain docosahexaenoic acid metabolism and signaling in iPLA2β (VIA)-deficient mice. Journal of Lipid Research. 51(11). 3166–3173. 47 indexed citations

11.

Malik, Ibrahim, John Turk, David J. Mancuso, et al.. (2008). Disrupted Membrane Homeostasis and Accumulation of Ubiquitinated Proteins in a Mouse Model of Infantile Neuroaxonal Dystrophy Caused by PLA2G6 Mutations. American Journal Of Pathology. 172(2). 406–416. 132 indexed citations

12.

Ramanadham, Sasanka, Kevin E. Yarasheski, Matthew J. Silva, et al.. (2008). Age-Related Changes in Bone Morphology Are Accelerated in Group VIA Phospholipase A2 (iPLA2β)-Null Mice. American Journal Of Pathology. 172(4). 868–881. 52 indexed citations

13.

Bao, Shunzhong, Yankun Li, Xiaoyong Lei, et al.. (2007). Attenuated Free Cholesterol Loading-induced Apoptosis but Preserved Phospholipid Composition of Peritoneal Macrophages from Mice That Do Not Express Group VIA Phospholipase A2. Journal of Biological Chemistry. 282(37). 27100–27114. 43 indexed citations

14.

Bao, Shunzhong, David A. Jacobson, Mary Wohltmann, et al.. (2007). Glucose homeostasis, insulin secretion, and islet phospholipids in mice that overexpress iPLA₂β in pancreatic β-cells and in iPLA₂β-null mice. American Journal of Physiology-Endocrinology and Metabolism. 294(2). E217–E229. 54 indexed citations

15.

Bao, Shunzhong, Haowei Song, Mary Wohltmann, et al.. (2006). Insulin Secretory Responses and Phospholipid Composition of Pancreatic Islets from Mice That Do Not Express Group VIA Phospholipase A2 and Effects of Metabolic Stress on Glucose Homeostasis. Journal of Biological Chemistry. 281(30). 20958–20973. 76 indexed citations

16.

Moran, Jason M., R. Mark L. Buller, Jane McHowat, et al.. (2005). Genetic and Pharmacologic Evidence That Calcium-independent Phospholipase A2β Regulates Virus-induced Inducible Nitric-oxide Synthase Expression by Macrophages. Journal of Biological Chemistry. 280(30). 28162–28168. 53 indexed citations

17.

Bao, Shunzhong, David J. Miller, Zhongmin Ma, et al.. (2004). Male Mice That Do Not Express Group VIA Phospholipase A2 Produce Spermatozoa with Impaired Motility and Have Greatly Reduced Fertility. Journal of Biological Chemistry. 279(37). 38194–38200. 148 indexed citations

18.

Ramanadham, Sasanka, Sheng Zhang, Zhongmin Ma, et al.. (2002). Δ6-, Stearoyl CoA-, and Δ5-desaturase enzymes are expressed in β-cells and are altered by increases in exogenous PUFA concentrations. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1580(1). 40–56. 16 indexed citations

19.

Ma, Zhongmin, Sasanka Ramanadham, Mary Wohltmann, et al.. (2001). Studies of Insulin Secretory Responses and of Arachidonic Acid Incorporation into Phospholipids of Stably Transfected Insulinoma Cells That Overexpress Group VIA Phospholipase A2(iPLA2β) Indicate a Signaling Rather Than a Housekeeping Role for iPLA2β. Journal of Biological Chemistry. 276(16). 13198–13208. 73 indexed citations

20.

Wohltmann, Mary, Bryan L. Roth, & Carmine Coscia. (1982). Differential postnatal development of mu and delta opiate receptors. Developmental Brain Research. 3(4). 679–684. 65 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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