Shrishailam Yemul

1.7k citations
28 papers · 1.2k indexed · h-index 18
Topics
Alzheimer's disease research and treatments (9 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)

In The Last Decade

Shrishailam Yemul

28 papers receiving 1.1k citations

Peers

Shrishailam Yemul
Comparison fields: 5 of 101
  • Molecular Biology 458
  • Physiology 451
  • Neurology 223
  • Neurology 202
  • Cellular and Molecular Neuroscience 152
Replace Vega García‐Escudero with:
Vega García‐Escudero Spain
Michał Prendecki Poland
Benjamin Chun‐Kit Tong Hong Kong
Joo‐Yong Lee South Korea
Isaac G. Onyango United States
Philip Stavrides United States
Fernando Benito Bartolomé Spain
Heidi Erb Canada
Erika Bereczki Sweden
Xiansi Zeng China
Shrishailam Yemul relative to Vega García‐Escudero Spain Vega García‐Escudero's profile →
Citations per field
00.5×1.5×
Vega García‐Escudero · 1×
Citations per year

Countries citing papers authored by Shrishailam Yemul

Since Specialization
Citations

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

Fields of papers citing papers by Shrishailam Yemul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shrishailam Yemul

This figure shows the co-authorship network connecting the top 25 collaborators of Shrishailam Yemul. A scholar is included among the top collaborators of Shrishailam Yemul 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 Shrishailam Yemul. Shrishailam Yemul 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
#WorkIndexed citations
1 19
2 9
3 1
4 49
5 41
6 35
7 36
8 107
9 1
10 67
11 39
12 100
13 25
14 149
15 73
16 6
17 2
18 11
19 28
20 10

About Shrishailam Yemul

Shrishailam Yemul is a scholar working on Neurology, Physiology and Sensory Systems, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Biological Psychiatry (94 citations), Neurology (223 citations) and Physiology (451 citations). Shrishailam Yemul has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Giulio Maria Pasinetti, Lap Ho, Lap Ho, Richard C. Mohs, Dushyant P. Purohit, Vahram Haroutunian, Wei Zhao, Patrick N. Pompl, Jun Wang and Elaine R. Peskind. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neurology and Biochemistry.

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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