Kafka

1.0k citations
15 papers · 43 · h-index 4

Impact in

Papers in

Kafka

12 papers receiving 28 citations

Peers

Kafka
Comparison fields: 5 of 38
  • Literature and Literary Theory 10
  • Transplantation 2
  • Obstetrics and Gynecology 5
  • Neurology 6
  • Genetics 3
Replace W. S. Halsted with:
W. S. Halsted
William Councilman Owens United States
Ralph H. Major United States
Warren A. Lapp United States
James V. Ricci
Thomas Aaberg United States
D.J. Eggleston United Kingdom
Alfonso de la Peña United States
Harry Platt United Kingdom
J Ampe Belgium
Kafka relative to W. S. Halsted W. S. Halsted's profile →
Citations per field
00.5×1.5×
W. S. Halsted · 1×
Citations per year

Countries citing papers authored by Kafka

Since Specialization
Citations

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

Fields of papers citing papers by Kafka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Kafka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kafka Line = papers co-authored together Kafka links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 19856
2
The reconstruction of vagina by thick skin graft.
19726
3
Aplasia of the pericardium.
19616
4
[Active coagulating bodies in cerebrospinal fluid].
19554
5
[Is the cerebrospinal fluid a tissue fluid?].
19543
6
The nucleolar coefficient of the lymphocytes in the peripheral blood in women with carcinoma of the genitalia.
19623
7
The mesomechanical approach to the shape memory effect.
19903
8 19772
9
[ON AN ADDITIONAL CASE OF BRAIN TISSUE FINDINGS IN THE ENDOMETRIUM].
19642
10 19952
11
[Diaphragmatic hernia in the newborn].
19562
12 20041
13
[Congenital diaphragmatic hernias in children].
19511
14
[Primary localized tumors of the pleura (mesotheliomas) in childhood; report of 3 cases].
19561
15
A controlled clinical trial with the cytostatic agent thyminalkylamine and its fluorinated derivative on advanced ovarian tumours.
19711

About Kafka

Kafka is a scholar working on Literature and Literary Theory, Surgery, Neurology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 43 indexed citations. Recurring topics across this work include Franz Kafka Literary Studies (4 papers), Congenital Diaphragmatic Hernia Studies (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Biomarkers in Disease Mechanisms (1 paper), Estrogen and related hormone effects (1 paper), Pericarditis and Cardiac Tamponade (1 paper), Literature and Cultural Memory (1 paper) and Female Genital Mutilation/Cutting Issues (1 paper). The work is most often cited by research in Literature and Literary Theory (10 citations), Transplantation (2 citations), Obstetrics and Gynecology (5 citations), Neurology (6 citations) and Genetics (3 citations). Frequent co-authors include Roy Pascal, J. D. Rolleston, Karel Smetana, Walter H. Sokel, F Perlı́k, M.D. Mann and J Elis. Their work appears in journals such as The German Quarterly, German Studies Review, Der Nervenarzt and PubMed.

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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