Bodo Lachmann

562 total citations
27 papers, 462 citations indexed

About

Bodo Lachmann is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Bodo Lachmann has authored 27 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Spectroscopy and 7 papers in Oncology. Recurrent topics in Bodo Lachmann's work include Drug Transport and Resistance Mechanisms (5 papers), Protein purification and stability (5 papers) and Analytical Chemistry and Chromatography (4 papers). Bodo Lachmann is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Protein purification and stability (5 papers) and Analytical Chemistry and Chromatography (4 papers). Bodo Lachmann collaborates with scholars based in Austria, Germany and Czechia. Bodo Lachmann's co-authors include Christian R. Noe, Winfried Neuhaus, Ernst Urban, Martin Kratzel, Michael Walther, Daniela Gruber, Christophe Chesné, Stefan Toegel, Eva-Anne Subileau and Franz Gabor and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Bodo Lachmann

27 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bodo Lachmann Austria 14 195 84 65 63 59 27 462
Jakob Haglöf Sweden 13 244 1.3× 83 1.0× 39 0.6× 24 0.4× 53 0.9× 22 418
Ryoichi Saitoh Japan 12 176 0.9× 59 0.7× 109 1.7× 23 0.4× 16 0.3× 20 463
Hirofumi Tsujino Japan 12 161 0.8× 24 0.3× 38 0.6× 44 0.7× 47 0.8× 55 413
Leo Kesner United States 15 264 1.4× 53 0.6× 31 0.5× 29 0.5× 27 0.5× 34 655
Takehiko Yajima Japan 14 319 1.6× 68 0.8× 86 1.3× 14 0.2× 13 0.2× 58 699
Xiangkun Yang United States 15 432 2.2× 33 0.4× 88 1.4× 14 0.2× 54 0.9× 22 663
Jinxin V. Pei Australia 18 429 2.2× 28 0.3× 44 0.7× 23 0.4× 97 1.6× 24 692
Nathan I. Lopez United States 13 287 1.5× 115 1.4× 29 0.4× 69 1.1× 14 0.2× 14 704
Shailendra Kumar Maurya India 16 245 1.3× 15 0.2× 166 2.6× 39 0.6× 15 0.3× 39 699
Hophil Min South Korea 13 200 1.0× 109 1.3× 60 0.9× 23 0.4× 27 0.5× 37 436

Countries citing papers authored by Bodo Lachmann

Since Specialization
Citations

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

Fields of papers citing papers by Bodo Lachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bodo Lachmann

This figure shows the co-authorship network connecting the top 25 collaborators of Bodo Lachmann. A scholar is included among the top collaborators of Bodo Lachmann 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 Bodo Lachmann. Bodo Lachmann 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.
Lachmann, Bodo, et al.. (2015). Charge heterogeneity study of a Fc-fusion protein, abatacept, using two-dimensional gel electrophoresis.. PubMed. 70(8). 527–34. 2 indexed citations
2.
Urban, Ernst, et al.. (2014). A STABILITY-INDICATING HPLC METHOD FOR THE DETERMINATION OF NAPHAZOLINE AND ITS DEGRADATION PRODUCT AND METHYL PARAHYDROXYBENZOATE IN PHARMACEUTICAL PREPARATIONS. Journal of Liquid Chromatography & Related Technologies. 37(10). 1321–1333. 6 indexed citations
3.
Subileau, Eva-Anne, Stefan Toegel, Daniela Gruber, et al.. (2014). Transport Rankings of Non-Steroidal Antiinflammatory Drugs across Blood-Brain Barrier In Vitro Models. PLoS ONE. 9(1). e86806–e86806. 87 indexed citations
4.
Noe, Christian R., et al.. (2013). Formaldehyde—A Key Monad of the Biomolecular System. SHILAP Revista de lepidopterología. 3(3). 486–501. 2 indexed citations
5.
Lachmann, Bodo. (2012). Rapid Determination of Diclofenac in Pharmaceutical Formulations by Capillary Zone Electrophoresis. Scientia Pharmaceutica. 80(2). 311–316. 13 indexed citations
6.
Lachmann, Bodo, et al.. (2012). Evaluation of a short stability-indicating HPLC method for diclofenac sodium gels.. PubMed. 67(12). 980–3. 4 indexed citations
7.
Neuhaus, Winfried, Jana Mandíková, Barbara Bennani‐Baïti, et al.. (2012). Blood-brain barrier in vitro models as tools in drug discovery: assessment of the transport ranking of antihistaminic drugs.. PubMed. 67(5). 432–9. 10 indexed citations
8.
Urban, Ernst, et al.. (2011). 2‐DE and MALDI‐TOF‐MS analysis of therapeutic fusion protein abatacept. Electrophoresis. 32(12). 1438–1443. 1 indexed citations
9.
Urban, Ernst, et al.. (2011). Comparison of two-dimensional gel electrophoresis patterns and MALDI-TOF MS analysis of therapeutic recombinant monoclonal antibodies trastuzumab and rituximab. Journal of Pharmaceutical and Biomedical Analysis. 56(4). 684–691. 18 indexed citations
10.
Schröder, Simone, et al.. (2011). The challenge to quantify proteins with charge trains due to isoforms or conformers. Electrophoresis. 33(2). 263–269. 13 indexed citations
11.
Lachmann, Bodo, et al.. (2010). Evaluation of different preparation methods for a preservative free triamcinolone acetonide preparation for intravitreal administration: a validated stability indicating HPLC-method.. PubMed. 65(12). 860–6. 5 indexed citations
12.
13.
Noe, Christian R., et al.. (2009). Influence of image‐analysis software on quantitation of two‐dimensional gel electrophoresis data. Electrophoresis. 30(2). 325–328. 22 indexed citations
14.
Furuhashi, Takeshi, et al.. (2009). Comparison of aragonitic molluscan shell proteins. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 155(2). 195–200. 16 indexed citations
15.
Neuhaus, Winfried, et al.. (2008). Validation of in vitro cell culture models of the blood–brain barrier: Tightness characterization of two promising cell lines. Journal of Pharmaceutical Sciences. 97(12). 5158–5175. 35 indexed citations
16.
Neuhaus, Winfried, et al.. (2006). A Novel Tool to Characterize Paracellular Transport: The APTS–Dextran Ladder. Pharmaceutical Research. 23(7). 1491–1501. 31 indexed citations
17.
Walther, Michael, et al.. (2005). Towards validating a method for two‐dimensional electrophoresis/silver staining. Electrophoresis. 26(12). 2461–2469. 30 indexed citations
18.
Marian, Brigitte, et al.. (2003). Induction of Apoptosis by Vitamin D Metabolites and Analogs in a Glioma Cell Line. Recent results in cancer research. 164. 319–332. 29 indexed citations
19.
Noe, Christian R., et al.. (2003). 7-Chloro-4-methyl-6-nitro-2H-chromen-2-one: a novel type of reagent for fluorescence analysis. Tetrahedron Letters. 44(4). 845–848. 3 indexed citations
20.
Lachmann, Bodo, et al.. (2002). Two-dimensional electrophoresis of recombinant human erythropoietin: A future method for the European Pharmacopoeia?. PROTEOMICS. 2(6). 679–682. 34 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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