J Assmus

1.2k total citations · 1 hit paper
5 papers, 889 citations indexed

About

J Assmus is a scholar working on Epidemiology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J Assmus has authored 5 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J Assmus's work include Neuroendocrine Tumor Research Advances (3 papers), Lung Cancer Research Studies (3 papers) and Pancreatic and Hepatic Oncology Research (1 paper). J Assmus is often cited by papers focused on Neuroendocrine Tumor Research Advances (3 papers), Lung Cancer Research Studies (3 papers) and Pancreatic and Hepatic Oncology Research (1 paper). J Assmus collaborates with scholars based in Norway, Sweden and Denmark. J Assmus's co-authors include Ulrich Knigge, Pia Österlund, Lene Weber Vestermark, Eva Tiensuu Janson, Halfdan Sørbye, Seppo W. Langer, Henning Grønbæk, Matteo Biagini, Birgitte Federspiel and Nanna Holt Jessen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Annals of Oncology.

In The Last Decade

J Assmus

5 papers receiving 874 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.

Predictive and prognostic factors for treatment and survival in 305 patients with advanced gastrointestinal neuroendocrine carcinoma (WHO G3): The NORDIC NEC study

2012 714 citations Halfdan Sørbye, Staffan Welin et al. Annals of Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J Assmus Norway	5	755	731	511	72	54	5	889
Gabriella Ferraro Italy	14	309 0.4×	187 0.3×	158 0.3×	60 0.8×	21 0.4×	23	532
Dorico Righi Italy	13	118 0.2×	73 0.1×	31 0.1×	185 2.6×	60 1.1×	43	634
Sean A. Fletcher United States	9	323 0.4×	66 0.1×	214 0.4×	46 0.6×	85 1.6×	15	572
Brandi R French United States	10	139 0.2×	58 0.1×	213 0.4×	53 0.7×	23 0.4×	30	418
Rose Giammarco Canada	12	113 0.1×	277 0.4×	56 0.1×	19 0.3×	12 0.2×	17	786
Snezana Milosavljevic United States	9	99 0.1×	113 0.2×	15 0.0×	38 0.5×	28 0.5×	19	372
Silvia Lucchini Italy	12	63 0.1×	54 0.1×	67 0.1×	71 1.0×	26 0.5×	26	415
Antonella Capozza Italy	11	79 0.1×	77 0.1×	141 0.3×	33 0.5×	9 0.2×	21	358
Bernard J. D’Souza United States	11	109 0.1×	40 0.1×	137 0.3×	102 1.4×	23 0.4×	21	667
Julio A. Martinez United States	8	138 0.2×	20 0.0×	93 0.2×	77 1.1×	25 0.5×	11	481

Countries citing papers authored by J Assmus

Since Specialization

Citations

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

Fields of papers citing papers by J Assmus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Assmus

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

All Works

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5 of 5 papers shown

1.

Knigge, Ulrich, Eva Tiensuu Janson, Lene Weber Vestermark, et al.. (2017). Results after surgical treatment of liver metastases in patients with high-grade gastroenteropancreatic neuroendocrine carcinomas. European Journal of Surgical Oncology. 43(9). 1682–1689. 40 indexed citations

2.

Bentsen, Signe Berit, et al.. (2013). Multiple symptoms in patients with chronic obstructive pulmonary disease in Norway. Nursing and Health Sciences. 15(3). 292–299. 32 indexed citations

3.

Sørbye, Halfdan, Staffan Welin, Seppo W. Langer, et al.. (2012). Predictive and prognostic factors for treatment and survival in 305 patients with advanced gastrointestinal neuroendocrine carcinoma (WHO G3): The NORDIC NEC study. Annals of Oncology. 24(1). 152–160. 714 indexed citations breakdown →

4.

Sørbye, Halfdan, Staffan Welin, Seppo W. Langer, et al.. (2012). Predictive and prognostic factors for treatment and survival in 305 patients with advanced gastrointestinal poorly differentiated neuroendocrine carcinoma: The NORDIC NEC study.. Journal of Clinical Oncology. 30(15_suppl). 4015–4015. 10 indexed citations

5.

Darko, Denis F., James C. Miller, Joleen T. White, et al.. (1995). Sleep electroencephalogram delta-frequency amplitude, night plasma levels of tumor necrosis factor alpha, and human immunodeficiency virus infection.. Proceedings of the National Academy of Sciences. 92(26). 12080–12084. 93 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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