W. Bablok

2.4k total citations · 1 hit paper
22 papers, 1.9k citations indexed

About

W. Bablok is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, W. Bablok has authored 22 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Genetics. Recurrent topics in W. Bablok's work include Clinical Laboratory Practices and Quality Control (5 papers), Statistical Methods in Clinical Trials (3 papers) and Metabolism and Genetic Disorders (2 papers). W. Bablok is often cited by papers focused on Clinical Laboratory Practices and Quality Control (5 papers), Statistical Methods in Clinical Trials (3 papers) and Metabolism and Genetic Disorders (2 papers). W. Bablok collaborates with scholars based in United States, Germany and Switzerland. W. Bablok's co-authors include H. Passing, B. Schneider, B. Kaufmann, G Betzien, F. Krück, K. Koch, U. Abshagen, Pernilla Lång, H. Schmidt and Martin Senn and has published in prestigious journals such as Diabetes Care, European Journal of Clinical Pharmacology and Clinical Chemistry and Laboratory Medicine (CCLM).

In The Last Decade

W. Bablok

21 papers receiving 1.8k citations

Hit Papers

A New Biometrical Procedure for Testing the Equality of M... 1983 2026 1997 2011 1983 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Bablok United States 10 319 300 269 220 171 22 1.9k
H. Passing Germany 5 307 1.0× 262 0.9× 234 0.9× 203 0.9× 153 0.9× 13 1.7k
Gianni Messeri Italy 24 297 0.9× 456 1.5× 610 2.3× 317 1.4× 99 0.6× 92 2.0k
L Theodorsen Norway 22 321 1.0× 592 2.0× 389 1.4× 518 2.4× 215 1.3× 57 2.9k
Nathan Gochman United States 17 163 0.5× 291 1.0× 237 0.9× 169 0.8× 90 0.5× 38 1.5k
Ernest Cotlove United States 18 475 1.5× 431 1.4× 294 1.1× 176 0.8× 285 1.7× 25 2.1k
Ralph B. Dell United States 27 387 1.2× 431 1.4× 318 1.2× 625 2.8× 407 2.4× 75 3.0k
Richard J. Henry United States 20 314 1.0× 499 1.7× 405 1.5× 350 1.6× 130 0.8× 41 2.4k
Walter Hoffmann United States 27 204 0.6× 297 1.0× 369 1.4× 318 1.4× 556 3.3× 113 2.2k
A R Henderson Canada 19 206 0.6× 377 1.3× 113 0.4× 222 1.0× 99 0.6× 127 2.0k
Robert S. Bernstein United States 22 204 0.6× 362 1.2× 177 0.7× 76 0.3× 112 0.7× 49 1.5k

Countries citing papers authored by W. Bablok

Since Specialization
Citations

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

Fields of papers citing papers by W. Bablok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Bablok

This figure shows the co-authorship network connecting the top 25 collaborators of W. Bablok. A scholar is included among the top collaborators of W. Bablok 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 W. Bablok. W. Bablok 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.
Sudhoff, Holger, et al.. (2008). Pankreaslipase: Referenzwerte für 25 °C. DMW - Deutsche Medizinische Wochenschrift. 106(8). 239–241.
2.
Suijlen, Jeroen D.E. van, B. G. Blijenberg, Jörg Hofmann, et al.. (2000). Multicentre evaluation of the Boehringer Mannheim/Hitachi 917 analysis system. Journal of Analytical Methods in Chemistry. 22(3). 65–81. 4 indexed citations
3.
Haeckel, Rainer, et al.. (1995). Recommendations for the biometrical evaluation of method comparison. Results from patients' samples.. PubMed. 53(3). 155–6. 1 indexed citations
4.
Zaman, Z., Norbert Blanckaert, Christa M. Cobbaert, et al.. (1993). Multicentre evaluation of the Boehringer Mannheim/Hitachi 911 Analysis System. Journal of Analytical Methods in Chemistry. 15(6). 189–208. 9 indexed citations
5.
Bablok, W., et al.. (1991). CAEv–A program for computer aided evaluation. Journal of Analytical Methods in Chemistry. 13(5). 167–179. 14 indexed citations
6.
Bablok, W., et al.. (1988). A General Regression Procedure for Method Transformation. Application of Linear Regression Procedures for Method Comparison Studies in Clinical Chemistry, Part III. Clinical Chemistry and Laboratory Medicine (CCLM). 26(11). 783–90. 181 indexed citations
7.
Bablok, W. & H. Passing. (1985). Application of statistical procedures in analytical instrument testing. Journal of Analytical Methods in Chemistry. 7(2). 74–79. 83 indexed citations
9.
Passing, H. & W. Bablok. (1983). A New Biometrical Procedure for Testing the Equality of Measurements from Two Different Analytical Methods. Application of linear regression procedures for method comparison studies in Clinical Chemistry, Part I. Clinical Chemistry and Laboratory Medicine (CCLM). 21(11). 709–720. 1249 indexed citations breakdown →
10.
Bablok, W., et al.. (1983). Evaluation of Diabur-Test 5000: A Cooperative Study Carried Out at 12 Diabetes Centers. Diabetes Care. 6(3). 213–218. 3 indexed citations
11.
Hesse, Robert H., et al.. (1981). Antithrombin III: Referenzwerte mit einem chromogenen Substrat (Chromozym TH). Annals of Hematology. 42(4). 227–234. 8 indexed citations
12.
Passing, H., et al.. (1981). An Optimized Design for the Establishment of Assigned Values in Control Sera. Clinical Chemistry and Laboratory Medicine (CCLM). 19(12). 1167–1180. 5 indexed citations
13.
Kupke, I, et al.. (1980). Creatinkinase ,,NAC-aktiviert": Referenzwerte bei Kindern. Klinische Pädiatrie. 192(4). 348–350. 4 indexed citations
14.
Abshagen, U., W. Bablok, K. Koch, et al.. (1979). Disposition pharmacokinetics of bezafibrate in man. European Journal of Clinical Pharmacology. 16(1). 31–38. 50 indexed citations
15.
Kleine, T. O., et al.. (1979). Diagnostische Bedeutung der Lactatbestimmung im Liquor bei Meningitis. DMW - Deutsche Medizinische Wochenschrift. 104(15). 553–557. 18 indexed citations
16.
Szász, G, et al.. (1979). Enzymatische Kreatinin-Bestimmung im Serum: Vergleich mit Jaffé-Methoden. Clinical Chemistry and Laboratory Medicine (CCLM). 17(11). 683–7. 14 indexed citations
17.
Schwab, Wilfried, et al.. (1979). Neue enzymatische Lactatbestimmung: Methodische Aspekte und Probengewinnung. Clinical Chemistry and Laboratory Medicine (CCLM). 17(2). 3 indexed citations
18.
Schwab, Wilfried, et al.. (1979). [New enzymatic determination of lactate: methodological aspects and sampling technique (author's transl)].. PubMed. 17(2). 65–70. 1 indexed citations
19.
Krück, F., et al.. (1978). Clinical and pharmacological investigations of the new saluretic azosemid. European Journal of Clinical Pharmacology. 14(3). 153–161. 44 indexed citations
20.
Ziegenhorn, Joachim, et al.. (1977). Kinetic Enzymatic Method for Automated Determination of Glucose in Blood and Serum. Clinical Chemistry and Laboratory Medicine (CCLM). 15(1-12). 13–9. 11 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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