Evan H. Nicklas

468 total citations
7 papers, 323 citations indexed

About

Evan H. Nicklas is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Evan H. Nicklas has authored 7 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 2 papers in Cell Biology. Recurrent topics in Evan H. Nicklas's work include Liver Disease Diagnosis and Treatment (5 papers), Cell death mechanisms and regulation (3 papers) and Mitochondrial Function and Pathology (2 papers). Evan H. Nicklas is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Cell death mechanisms and regulation (3 papers) and Mitochondrial Function and Pathology (2 papers). Evan H. Nicklas collaborates with scholars based in United States. Evan H. Nicklas's co-authors include Sathyaseelan S. Deepa, Sabira Mohammed, Nidheesh Thadathil, Arlan Richardson, Ramasamy Selvarani, Benjamin F. Miller, Dawei Wang, Michael Kinter, Tommy L. Lewis and Jacob L. Brown and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Aging Cell.

In The Last Decade

Evan H. Nicklas

7 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Evan H. Nicklas United States	5	185	115	56	55	41	7	323
Daniela Lambertz Germany	9	169 0.9×	133 1.2×	44 0.8×	56 1.0×	51 1.2×	14	383
André Sarmento‐Cabral Spain	12	199 1.1×	127 1.1×	21 0.4×	67 1.2×	79 1.9×	23	393
Ming Han China	12	199 1.1×	141 1.2×	44 0.8×	37 0.7×	99 2.4×	25	396
Gyu Won Jeong South Korea	9	127 0.7×	91 0.8×	50 0.9×	35 0.6×	32 0.8×	10	291
Karin Diggle United States	10	108 0.6×	111 1.0×	36 0.6×	39 0.7×	23 0.6×	12	284
Anna Mae Diehl United States	5	110 0.6×	211 1.8×	62 1.1×	54 1.0×	27 0.7×	6	393
Kelly Hester United States	10	258 1.4×	193 1.7×	88 1.6×	148 2.7×	18 0.4×	23	536
Xiaoyi Shi China	10	287 1.6×	69 0.6×	24 0.4×	46 0.8×	139 3.4×	35	429
Raul Lazaro United States	8	249 1.3×	313 2.7×	60 1.1×	27 0.5×	54 1.3×	8	570
Rumi Hachiya Japan	8	151 0.8×	99 0.9×	63 1.1×	63 1.1×	20 0.5×	20	364

Countries citing papers authored by Evan H. Nicklas

Since Specialization

Citations

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

Fields of papers citing papers by Evan H. Nicklas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evan H. Nicklas

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

All Works

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7 of 7 papers shown

Mohammed, Sabira, Chao Jiang, Nidheesh Thadathil, et al.. (2025). Impact of Mlkl or Ripk3 deletion on age-associated liver inflammation, metabolic health, and lifespan. GeroScience. 47(3). 4465–4483. 2 indexed citations

Mohammed, Sabira, Nidheesh Thadathil, Albert Tran, et al.. (2024). Non-Necroptotic Roles of MLKL in Diet-Induced Obesity, Liver Pathology, and Insulin Sensitivity: Insights from a High-Fat, High-Fructose, High-Cholesterol Diet Mouse Model. International Journal of Molecular Sciences. 25(5). 2813–2813. 4 indexed citations

Mohammed, Sabira, Nidheesh Thadathil, Constantin Georgescu, et al.. (2023). Absence of Either Ripk3 or Mlkl Reduces Incidence of Hepatocellular Carcinoma Independent of Liver Fibrosis. Molecular Cancer Research. 21(9). 933–946. 17 indexed citations

Thadathil, Nidheesh, Ramasamy Selvarani, Sabira Mohammed, et al.. (2022). Senolytic treatment reduces cell senescence and necroptosis in Sod1 knockout mice that is associated with reduced inflammation and hepatocellular carcinoma. Aging Cell. 21(8). e13676–e13676. 40 indexed citations

Mohammed, Sabira, Nidheesh Thadathil, Ramasamy Selvarani, et al.. (2021). Necroptosis contributes to chronic inflammation and fibrosis in aging liver. Aging Cell. 20(12). e13512–e13512. 126 indexed citations

Thadathil, Nidheesh, Evan H. Nicklas, Sabira Mohammed, et al.. (2021). Necroptosis increases with age in the brain and contributes to age-related neuroinflammation. GeroScience. 43(5). 2345–2361. 48 indexed citations

Mohammed, Sabira, Evan H. Nicklas, Nidheesh Thadathil, et al.. (2021). Role of necroptosis in chronic hepatic inflammation and fibrosis in a mouse model of increased oxidative stress. Free Radical Biology and Medicine. 164. 315–328. 86 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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