Markus R. John

3.0k total citations · 1 hit paper
45 papers, 2.1k citations indexed

About

Markus R. John is a scholar working on Rheumatology, Oncology and Surgery. According to data from OpenAlex, Markus R. John has authored 45 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Rheumatology, 17 papers in Oncology and 12 papers in Surgery. Recurrent topics in Markus R. John's work include Osteoarthritis Treatment and Mechanisms (12 papers), Bone health and treatments (10 papers) and Total Knee Arthroplasty Outcomes (10 papers). Markus R. John is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (12 papers), Bone health and treatments (10 papers) and Total Knee Arthroplasty Outcomes (10 papers). Markus R. John collaborates with scholars based in Switzerland, United States and Germany. Markus R. John's co-authors include Ping Gao, Ernest Choy, Misato Hashizume, Fabrizio De Benedetti, Tadamitsu Kishimoto, Tsutomu Takeuchi, H. Schmidt‐Gayk, Harald Jüppner, F. Eckstein and Sudhaker D. Rao and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Radiology and Endocrinology.

In The Last Decade

Markus R. John

41 papers receiving 2.0k citations

Hit Papers

Translating IL-6 biology into effective treatments 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus R. John Switzerland 22 616 595 552 499 441 45 2.1k
Ruth McCracken United States 25 879 1.4× 444 0.7× 159 0.3× 1.3k 2.6× 276 0.6× 28 3.1k
Nancy S. Krieger United States 25 763 1.2× 371 0.6× 117 0.2× 847 1.7× 131 0.3× 65 2.1k
Takahito Ito Japan 27 651 1.1× 174 0.3× 122 0.2× 1.5k 2.9× 619 1.4× 78 2.7k
Keisuke Kawasaki Japan 21 296 0.5× 182 0.3× 123 0.2× 566 1.1× 367 0.8× 123 1.8k
Hannes Olauson Sweden 25 1.7k 2.8× 201 0.3× 189 0.3× 971 1.9× 250 0.6× 48 2.8k
Daniela Merlotti Italy 30 85 0.1× 1.2k 2.0× 457 0.8× 978 2.0× 268 0.6× 94 2.9k
Alois Gessl Austria 28 175 0.3× 172 0.3× 146 0.3× 527 1.1× 493 1.1× 87 2.6k
Yoshinori Taniguchi Japan 22 308 0.5× 77 0.1× 344 0.6× 545 1.1× 243 0.6× 136 1.7k
Hiroo Niimi Japan 24 187 0.3× 110 0.2× 124 0.2× 463 0.9× 240 0.5× 101 1.7k
Mariana Kiomy Osako Japan 20 125 0.2× 253 0.4× 77 0.1× 421 0.8× 171 0.4× 40 1.2k

Countries citing papers authored by Markus R. John

Since Specialization
Citations

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

Fields of papers citing papers by Markus R. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus R. John. 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 Markus R. John. The network helps show where Markus R. John may publish in the future.

Co-authorship network of co-authors of Markus R. John

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

All Works

20 of 20 papers shown
1.
Choy, Ernest, Fabrizio De Benedetti, Tsutomu Takeuchi, et al.. (2020). Translating IL-6 biology into effective treatments. Nature Reviews Rheumatology. 16(6). 335–345. 441 indexed citations breakdown →
2.
Roemer, Frank W., C. Kent Kwoh, Tomoko Fujii, et al.. (2018). From Early Radiographic Knee Osteoarthritis to Joint Arthroplasty: Determinants of Structural Progression and Symptoms. Arthritis Care & Research. 70(12). 1778–1786. 20 indexed citations
3.
John, Markus R., et al.. (2017). Interactive Visual Exploration of the Regesta Imperii.. DH.
4.
Eckstein, F., Robert M. Boudreau, Michael J. Hannon, et al.. (2014). Trajectory of cartilage loss within 4 years of knee replacement – a nested case–control study from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 22(10). 1542–1549. 41 indexed citations
5.
Bardin, Thomas, Alexander So, Mark Bloch, et al.. (2012). Efficacy and Safety of Canakinumab Vs Triamcinolone Acetonide in Patients with Gouty Arthritis Unable to Use Nonsteroidal Anti-Inflammatory Drugs and Colchicine, and On Stable Urate Lowering Therapy (ULT) or Unable to Use ULT. IRIS. 4 indexed citations
6.
Wirth, W., J. Duryea, M.-P. Hellio Le Graverand, et al.. (2012). Direct comparison of fixed flexion, radiography and MRI in knee osteoarthritis: responsiveness data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 21(1). 117–125. 64 indexed citations
8.
Eckstein, F., C. Kent Kwoh, Robert M. Boudreau, et al.. (2012). Quantitative MRI measures of cartilage predict knee replacement: a case–control study from the Osteoarthritis Initiative. Annals of the Rheumatic Diseases. 72(5). 707–714. 99 indexed citations
9.
Guermazi, Ali, C. Kent Kwoh, Michael J. Hannon, et al.. (2012). Hoffa-synovitis and effusion-synovitis are associated with knees undergoing total knee replacement: data from the osteoarthritis initiative. Osteoarthritis and Cartilage. 20. S235–S236. 9 indexed citations
10.
John, Markus R., Leo Widler, R. Gamse, et al.. (2011). ATF936, a novel oral calcilytic, increases bone mineral density in rats and transiently releases parathyroid hormone in humans. Bone. 49(2). 233–241. 32 indexed citations
11.
Eckstein, F., Sebastian Cotofana, W. Wirth, et al.. (2011). Greater rates of cartilage loss in painful knees than in pain‐free knees after adjustment for radiographic disease stage: Data from the Osteoarthritis Initiative. Arthritis & Rheumatism. 63(8). 2257–2267. 58 indexed citations
12.
Livingston, Patricia M., et al.. (2009). Mapping the information resources available to patients with colorectal cancer. European Journal of Cancer Care. 19(4). 492–500. 4 indexed citations
13.
Baumgarten, Birgit, et al.. (2008). Bioinformatics prediction of overlapping frameshifted translation products in mammalian transcripts. BMC Genomics. 9(1). 122–122. 26 indexed citations
14.
Papasani, Madhusudhan R., Robert Gensure, Yi‐Lin Yan, et al.. (2004). Identification and Characterization of the Zebrafish and Fugu Genes Encoding Tuberoinfundibular Peptide 39. Endocrinology. 145(11). 5294–5304. 31 indexed citations
15.
John, Markus R., Maya Arai, David A. Rubin, Kenneth B. Jonsson, & Harald Jüppner. (2002). Identification and Characterization of the Murine and Human Gene Encoding the Tuberoinfundibular Peptide of 39 Residues. Endocrinology. 143(3). 1047–1057. 33 indexed citations
16.
Pajevic, Paola Divieti, Markus R. John, Harald Jüppner, & F. Richard Bringhurst. (2002). Human PTH-(7-84) Inhibits Bone Resorptionin VitroVia Actions Independent of the Type 1 PTH/PTHrP Receptor. Endocrinology. 143(1). 171–176. 124 indexed citations
18.
Sieg, Andreas, et al.. (1999). Detection of colorectal neoplasms by the highly sensitive hemoglobin-haptoglobin complex in feces. International Journal of Colorectal Disease. 14(6). 267–271. 24 indexed citations
19.
Sieg, Andreas, et al.. (1998). Screening for colorectal neoplasms with a new immunological human faecal haemoglobin and albumin test. European Journal of Cancer Prevention. 7(4). 279–285. 12 indexed citations
20.
Gao, Ping, et al.. (1995). Solid-phase competitive luminescence immunoassay for lysozyme in faeces. Clinica Chimica Acta. 239(2). 167–177. 7 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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