Inger Nennesmo

6.7k total citations · 1 hit paper
126 papers, 4.5k citations indexed

About

Inger Nennesmo is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Inger Nennesmo has authored 126 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 28 papers in Neurology and 24 papers in Epidemiology. Recurrent topics in Inger Nennesmo's work include Mitochondrial Function and Pathology (22 papers), Inflammatory Myopathies and Dermatomyositis (20 papers) and Alzheimer's disease research and treatments (17 papers). Inger Nennesmo is often cited by papers focused on Mitochondrial Function and Pathology (22 papers), Inflammatory Myopathies and Dermatomyositis (20 papers) and Alzheimer's disease research and treatments (17 papers). Inger Nennesmo collaborates with scholars based in Sweden, United States and Germany. Inger Nennesmo's co-authors include Ingrid E. Lundberg, Jan‐Inge Henter, Olof Breuer, Ingemar Björkhem, Ulf Diczfalusy, Å Sidén, Dieter Lütjohann, G. Ahlborg, Krister Kristensson and Pernilla Englund and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Inger Nennesmo

125 papers receiving 4.5k 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.

Cholesterol homeostasis in human brain: evidence for an age-dependent flux of 24S-hydroxycholesterol from the brain into the circulation.

1996 581 citations Inger Nennesmo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Inger Nennesmo Sweden	36	1.7k	1.1k	928	688	675	126	4.5k
Lijun Yang China	36	1.7k 1.0×	961 0.9×	1.4k 1.5×	518 0.8×	1.0k 1.5×	177	5.7k
Sadakazu Aiso Japan	46	2.3k 1.4×	675 0.6×	1.3k 1.4×	1.3k 1.9×	976 1.4×	225	7.3k
Mitsuru Seishima Japan	43	2.0k 1.2×	1.4k 1.3×	644 0.7×	1.5k 2.2×	418 0.6×	176	6.4k
Tetsumori Yamashima Japan	47	2.6k 1.6×	957 0.9×	867 0.9×	321 0.5×	1.4k 2.1×	206	7.1k
John R. Lukens United States	41	2.6k 1.6×	751 0.7×	807 0.9×	2.0k 2.9×	480 0.7×	92	5.8k
Nikolaos Grigoriadis Greece	43	1.9k 1.1×	412 0.4×	1.2k 1.3×	665 1.0×	1.0k 1.5×	221	7.0k
Susan M. Knoblach United States	38	2.2k 1.3×	733 0.7×	434 0.5×	412 0.6×	949 1.4×	70	4.4k
Shuzo Sato Japan	38	1.6k 1.0×	419 0.4×	533 0.6×	824 1.2×	1.6k 2.3×	271	5.2k
Kotaro Suzuki Japan	39	1.5k 0.9×	489 0.4×	1.4k 1.5×	383 0.6×	539 0.8×	215	5.0k
Marjorie R. Grafe United States	45	985 0.6×	638 0.6×	779 0.8×	326 0.5×	1.0k 1.6×	134	5.9k

Countries citing papers authored by Inger Nennesmo

Since Specialization

Citations

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

Fields of papers citing papers by Inger Nennesmo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inger Nennesmo

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

Filograna, Roberta, Giovanni Rigoni, Michela Barbaro, et al.. (2024). PARKIN is not required to sustain OXPHOS function in adult mammalian tissues. npj Parkinson s Disease. 10(1). 93–93. 10 indexed citations

Paucar, Martin, Daniel Nilsson, Martin Engvall, et al.. (2024). Spinocerebellar ataxia type 4 is caused by a GGC expansion in the ZFHX3 gene and is associated with prominent dysautonomia and motor neuron signs. Journal of Internal Medicine. 296(3). 234–248. 7 indexed citations

Kvarnung, Malin, Wolfgang Sperker, Helene Bruhn, et al.. (2023). Ataxia Syndrome With Hearing Loss and Nephronophthisis Associated With a Novel Homozygous Variant in XPNPEP3. Neurology Genetics. 9(6). e200100–e200100. 1 indexed citations

Nilsson, Daniel, Martin Engvall, Helena Malmgren, et al.. (2023). Genome sequencing with comprehensive variant calling identifies structural variants and repeat expansions in a large fraction of individuals with ataxia and/or neuromuscular disorders. Frontiers in Neurology. 14. 1170005–1170005. 4 indexed citations

Stålberg, Erik, Gerald Cooray, Yvette Hedström, et al.. (2020). Neurogenic vs. Myogenic Origin of Acquired Muscle Paralysis in Intensive Care Unit (ICU) Patients: Evaluation of Different Diagnostic Methods. Diagnostics. 10(11). 966–966. 19 indexed citations

Taylan, Fulya, Inger Nennesmo, Göran Annerén, et al.. (2019). Early activating somatic PIK3CA mutations promote ectopic muscle development and upper limb overgrowth. Clinical Genetics. 96(2). 118–125. 9 indexed citations

Loell, Ingela, Joan Raouf, Yiwen Chen, et al.. (2016). Effects on muscle tissue remodeling and lipid metabolism in muscle tissue from adult patients with polymyositis or dermatomyositis treated with immunosuppressive agents. Arthritis Research & Therapy. 18(1). 136–136. 18 indexed citations

Gatz, Margaret, et al.. (2015). Antemortem Prediction of Braak Stage. Journal of Neuropathology & Experimental Neurology. 74(11). 1061–1070. 11 indexed citations

Marutle, Amelia, Per‐Göran Gillberg, Wenfeng Yu, et al.. (2013). 3H-Deprenyl and 3H-PIB autoradiography show different laminar distributions of astroglia and fibrillar β-amyloid in Alzheimer brain. Journal of Neuroinflammation. 10(1). 90–90. 54 indexed citations

10.

Keller, Lina, Hedvig Welander, Huei-Hsin Chiang, et al.. (2010). The PSEN1 I143T mutation in a Swedish family with Alzheimer's disease: clinical report and quantification of Aβ in different brain regions. European Journal of Human Genetics. 18(11). 1202–1208. 30 indexed citations

11.

Sundblom, Jimmy, Erik Stålberg, Hannu Kalimo, et al.. (2010). Bedside diagnosis of rippling muscle disease in CAV3 p.A46T mutation carriers. Muscle & Nerve. 41(6). 751–757. 7 indexed citations

12.

Kadir, Ahmadul, Amelia Marutle, Daniel Gonzalez, et al.. (2010). Positron emission tomography imaging and clinical progression in relation to molecular pathology in the first Pittsburgh Compound B positron emission tomography patient with Alzheimer’s disease. Brain. 134(1). 301–317. 109 indexed citations

13.

Naess, K, Christoph Freyer, Helene Bruhn, et al.. (2008). MtDNA mutations are a common cause of severe disease phenotypes in children with Leigh syndrome. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1787(5). 484–490. 47 indexed citations

14.

Minde, Jan, Göran Toolanen, Thomas Andersson, et al.. (2004). Familial insensitivity to pain (HSAN V) and a mutation in the NGFB gene. A neurophysiological and pathological study. Muscle & Nerve. 30(6). 752–760. 62 indexed citations

15.

Englund, Pernilla, Inger Nennesmo, Lars Klareskog, & Ingrid E. Lundberg. (2002). Interleukin‐1α expression in capillaries and major histocompatibility complex class I expression in type II muscle fibers from polymyositis and dermatomyositis patients: Important pathogenic features independent of inflammatory cell clusters in muscle tissue. Arthritis & Rheumatism. 46(4). 1044–1055. 68 indexed citations

16.

Sundblad, Anne, Anna Porwit, Inger Nennesmo, et al.. (2001). Antibody reactivities to skeletal muscle proteins in a patient with λ light chain secreting multiple myeloma, generalised amyloidosis and rhabdomyolysis. European Journal Of Haematology. 67(3). 189–193. 7 indexed citations

17.

Englund, Pernilla, Eva Lindroos, Inger Nennesmo, Lars Klareskog, & Ingrid E. Lundberg. (2001). Skeletal Muscle Fibers Express Major Histocompatibility Complex Class II Antigens Independently of Inflammatory Infiltrates in Inflammatory Myopathies. American Journal Of Pathology. 159(4). 1263–1273. 111 indexed citations

18.

Bratt, Göran, et al.. (1999). BK virus as the cause of meningoencephalitis, retinitis and nephritis in a patient with AIDS. AIDS. 13(9). 1071–1075. 80 indexed citations

19.

Deretzi, Georgia, Li‐Ping Zou, Sigliti‐Henrietta Pelidou, et al.. (1999). Nasal Administration of Recombinant Rat IL-4 Ameliorates Ongoing Experimental Autoimmune Neuritis and Inhibits Demyelination. Journal of Autoimmunity. 12(2). 81–89. 28 indexed citations

20.

Melberg, Atle, Jerker Hetta, Niklas Dahl, et al.. (1995). Autosomal dominant cerebellar ataxia deafness and narcolepsy. Journal of the Neurological Sciences. 134(1-2). 119–129. 24 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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