K. Feldmann

981 total citations
31 papers, 733 citations indexed

About

K. Feldmann is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, K. Feldmann has authored 31 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 16 papers in Epidemiology and 9 papers in Molecular Biology. Recurrent topics in K. Feldmann's work include Tuberculosis Research and Epidemiology (15 papers), Mycobacterium research and diagnosis (13 papers) and Diagnosis and treatment of tuberculosis (5 papers). K. Feldmann is often cited by papers focused on Tuberculosis Research and Epidemiology (15 papers), Mycobacterium research and diagnosis (13 papers) and Diagnosis and treatment of tuberculosis (5 papers). K. Feldmann collaborates with scholars based in Germany, United States and Nepal. K. Feldmann's co-authors include William E. Hull, Heinz Rinder, T. Löscher, Burkhard Springer, Sabine Rüsch–Gerdes, Jens Rosenau, Paul A. Kirschner, Erik C. Böttger, Gisela Bretzel and Sabine Hofmann-Thiel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and FEBS Letters.

In The Last Decade

K. Feldmann

30 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Feldmann Germany 14 485 485 220 186 70 31 733
Yuko Kazumi Japan 16 780 1.6× 673 1.4× 243 1.1× 146 0.8× 195 2.8× 51 893
Akio Aono Japan 17 543 1.1× 532 1.1× 192 0.9× 113 0.6× 106 1.5× 71 708
Xia Yu China 17 480 1.0× 519 1.1× 177 0.8× 259 1.4× 94 1.3× 54 860
Xiaoyou Chen China 15 321 0.7× 443 0.9× 293 1.3× 125 0.7× 62 0.9× 43 767
Krishnamoorthy Gopinath India 18 473 1.0× 528 1.1× 178 0.8× 213 1.1× 107 1.5× 28 770
Catherine Pierre-Audigier France 14 907 1.9× 657 1.4× 227 1.0× 125 0.7× 309 4.4× 19 1.1k
Л. Н. Черноусова Russia 18 593 1.2× 661 1.4× 223 1.0× 298 1.6× 37 0.5× 89 1.0k
Haiqing Chu China 20 577 1.2× 476 1.0× 74 0.3× 166 0.9× 191 2.7× 74 1.1k
Matt D. Johansen Australia 19 799 1.6× 637 1.3× 88 0.4× 280 1.5× 248 3.5× 44 1.2k
Fengmin Huo China 19 697 1.4× 908 1.9× 434 2.0× 224 1.2× 64 0.9× 59 1.2k

Countries citing papers authored by K. Feldmann

Since Specialization
Citations

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

Fields of papers citing papers by K. Feldmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Feldmann

This figure shows the co-authorship network connecting the top 25 collaborators of K. Feldmann. A scholar is included among the top collaborators of K. Feldmann 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 K. Feldmann. K. Feldmann 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.
Barnard, Marinus, Linda M. Parsons, Paolo Miotto, et al.. (2012). Molecular Detection of Drug-Resistant Tuberculosis by Line Probe Assay. Laboratory Manual for Resource-Limited Settings.. 13 indexed citations
2.
Mönkemüller, Klaus, et al.. (2010). Downhill varices resulting from giant intrathoracic goiter. Endoscopy. 42(S 02). E40–E40. 6 indexed citations
3.
Hofmann-Thiel, Sabine, et al.. (2008). Mechanisms of heteroresistance to isoniazid and rifampin ofMycobacterium tuberculosisin Tashkent, Uzbekistan. European Respiratory Journal. 33(2). 368–374. 105 indexed citations
4.
Holdenrieder, Stefan, D. Nagel, Volker Heinemann, et al.. (2008). Predictive and prognostic biomarker models in advanced lung cancer. Journal of Clinical Oncology. 26(15_suppl). 19010–19010. 4 indexed citations
7.
Sedlacek, Ludwig, et al.. (2004). LightCycler-Based Differentiation of Mycobacterium abscessus and Mycobacterium chelonae. Journal of Clinical Microbiology. 42(7). 3284–3287. 12 indexed citations
8.
Holdenrieder, Stefan, P Stieber, Joachim von Pawel, et al.. (2004). Early prediction of response to chemotherapy by circulating nucleosomes and CYFRA 21–1. Journal of Clinical Oncology. 22(14_suppl). 7149–7149.
9.
Rinder, Heinz, Enrico Tortoli, Elvira Richter, et al.. (2001). Detection of embB codon 306 mutations in ethambutol resistant Mycobacterium tuberculosis directly from sputum samples: a low-cost, rapid approach. Molecular and Cellular Probes. 15(1). 37–42. 24 indexed citations
10.
Truffot-Pernot, C., et al.. (2000). Rapid, simple, and culture-independent detection of rpsL codon 43 mutations that are highly predictive of streptomycin resistance in Mycobacterium tuberculosis.. American Journal of Tropical Medicine and Hygiene. 63(1). 56–60. 6 indexed citations
11.
Feldmann, K., Enrico Tortoli, J Grosset, et al.. (1999). Culture-independent prediction of isoniazid resistance in Mycobacterium tuberculosis by katG gene analysis directly from sputum samples2. Molecular Diagnosis. 4(2). 145–152. 9 indexed citations
12.
Rinder, Heinz, Angelika Thomschke, Sabine Rüsch–Gerdes, et al.. (1998). Significance ofahpC promoter mutations for the prediction of isoniazid resistance inMycobacterium tuberculosis. European Journal of Clinical Microbiology & Infectious Diseases. 17(7). 508–511. 24 indexed citations
13.
Reischl, Udo, K. Feldmann, L. Naumann, et al.. (1998). 16S rRNA Sequence Diversity in Mycobacterium celatum Strains Caused by Presence of Two Different Copies of 16S rRNA Gene. Journal of Clinical Microbiology. 36(6). 1761–1764. 76 indexed citations
14.
Bretzel, Gisela, et al.. (1997). Geographic variation of the predictive values of genomic mutations associated with streptomycin resistance inMycobacterium tuberculosis. Molecular and Cellular Probes. 11(2). 123–126. 25 indexed citations
15.
Feldmann, K., et al.. (1996). Directly observed intermittent short-course chemotherapy in the Kathmandu valley. Tubercle and Lung Disease. 77(4). 302–307. 10 indexed citations
17.
Yassin, A. F., Fred A. Rainey, H. Brzezinka, et al.. (1996). Tsukamurella pulmonis sp. nov.. International Journal of Systematic Bacteriology. 46(2). 429–436. 44 indexed citations
18.
Keller, Frederick S., et al.. (1981). [An improved method for selective determination of serum albumin by the bromcresol green method, using the SMAR 12/60 (author's transl)].. PubMed. 19(3). 169–71. 1 indexed citations
19.
Feldmann, K., et al.. (1980). The P‐light chain of rabbit skeletal muscle myosin: A 31P NMR study. FEBS Letters. 117(1-2). 199–202. 11 indexed citations
20.
Shrestha, Bhawana, et al.. (1970). The pattern of anti-tuberculosis drug resistance in patients traeted at an urban tuberculosis clinic Kathmandu valley. Journal of Nepal Medical Association. 34(117). 36–40. 1 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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